Triple
T15389513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanuya Lailai |
E368002
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object |
Matacawalevu
Matacawalevu is an island in Fiji’s Yasawa group, known for its rugged landscapes, beaches, and traditional village life.
|
E1154828
|
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: Matacawalevu | Statement: [Nanuya Lailai, nearbyIsland, Matacawalevu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matacawalevu Context triple: [Nanuya Lailai, nearbyIsland, Matacawalevu]
-
A.
Makilala
Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
-
B.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Matalam
Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
-
E.
Pilcaniyeu
Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
- 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: Matacawalevu Triple: [Nanuya Lailai, nearbyIsland, Matacawalevu]
Generated description
Matacawalevu is an island in Fiji’s Yasawa group, known for its rugged landscapes, beaches, and traditional village life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matacawalevu Target entity description: Matacawalevu is an island in Fiji’s Yasawa group, known for its rugged landscapes, beaches, and traditional village life.
-
A.
Makilala
Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
-
B.
Matarani
Matarani is a major Peruvian Pacific port town that serves as a key maritime gateway for the Arequipa Region and southern Peru.
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Matalam
Matalam is a municipality in the province of Cotabato on the island of Mindanao in the Philippines, known primarily as an agricultural community.
-
E.
Pilcaniyeu
Pilcaniyeu is a small town in Argentina’s Patagonia region, located in the Andean area of Río Negro Province and known for its rural character and nearby natural landscapes.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.