Triple
T2370142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rizal Park |
E46067
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Luneta
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
|
E261775
|
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: Luneta | Statement: [Rizal Park, alsoKnownAs, Luneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luneta Context triple: [Rizal Park, alsoKnownAs, Luneta]
-
A.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
B.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
C.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
D.
Two Moon
Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
-
E.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
- 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: Luneta Triple: [Rizal Park, alsoKnownAs, Luneta]
Generated description
Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luneta Target entity description: Luneta is the historic urban park in Manila, Philippines, renowned as a national landmark and popular public gathering place.
-
A.
Luna
Luna was an ancient Roman town in northern Italy that served as a key urban and commercial center for the Ligurian region.
-
B.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
C.
Lunan
Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
-
D.
Two Moon
Two Moon was a Northern Cheyenne chief and warrior who played a prominent leadership role against U.S. forces during the Great Sioux War of 1876.
-
E.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76f5aec8190867d621e6849258c |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a2b1448190b19179cf379993ee |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeac6b13ac81909042dddef15ec924 |
completed | March 9, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead16b0a881909103e26053cfad84 |
completed | March 9, 2026, 11:20 a.m. |
Created at: March 4, 2026, 7:56 p.m.