Triple
T11611384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Mapping and Resource Information Authority |
E275391
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NAMRIA
NAMRIA is the Philippines’ central government agency responsible for producing and managing the country’s official maps and geospatial information.
|
E936636
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NAMRIA | Statement: [National Mapping and Resource Information Authority, shortName, NAMRIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NAMRIA Context triple: [National Mapping and Resource Information Authority, shortName, NAMRIA]
-
A.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
B.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
C.
NAM
NAM is a United States military decoration awarded to members of the Navy and Marine Corps for meritorious service or achievement.
-
D.
NAM
NAM is a Dutch petroleum company historically responsible for natural gas extraction in the Groningen region, which has been linked to induced earthquakes there.
-
E.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NAMRIA Triple: [National Mapping and Resource Information Authority, shortName, NAMRIA]
Generated description
NAMRIA is the Philippines’ central government agency responsible for producing and managing the country’s official maps and geospatial information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NAMRIA Target entity description: NAMRIA is the Philippines’ central government agency responsible for producing and managing the country’s official maps and geospatial information.
-
A.
Namaka
Namaka is the smaller and inner of the two known moons orbiting the dwarf planet Haumea in the Kuiper Belt.
-
B.
Nakamaro
Nakamaro is a Japanese given name historically associated with figures such as the Nara-period court noble and poet Ōtomo no Yakamochi’s contemporary, Fujiwara no Nakamaro.
-
C.
Nalik
Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
-
D.
Nawuri
Nawuri is a Guang language spoken primarily by the Nawuri people in northern Ghana.
-
E.
Namgia
Namgia is a small Himalayan village in India’s Himachal Pradesh, known as one of the last settlements before the Indo-Tibetan border near the high mountain pass of Shipki La.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8311bcc8190a3fe7d28c593aea3 |
completed | April 22, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69e8af9665648190b7732076aa129671 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b41febc8190bc37672535735710 |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.