Triple
T11606791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manus Province |
E275279
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Momote
Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
|
E937026
|
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: Momote | Statement: [Manus Province, hasSettlement, Momote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Momote Context triple: [Manus Province, hasSettlement, Momote]
-
A.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
B.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
C.
Taro
The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Jiigatake
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
- 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: Momote Triple: [Manus Province, hasSettlement, Momote]
Generated description
Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Momote Target entity description: Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
-
A.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
B.
Taro
Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
-
C.
Taro
The Taro is a river in northern Italy that flows through the Emilia-Romagna region and ultimately joins the Po River.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Jiigatake
Jiigatake is a ski resort in Japan’s Hakuba Valley, known for its gentler slopes and family-friendly atmosphere.
- 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_69d89551649c81908096ff392677442d |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee871c3dbc8190922d125a04a9ee98 |
completed | April 26, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69ee9cf1cb2481908bc473c87bc42d60 |
completed | April 26, 2026, 11:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd31894481908dbd55f605c693f9 |
completed | April 27, 2026, 2:42 a.m. |
Created at: April 8, 2026, 9:38 p.m.