Triple
T2211596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atauro |
E50928
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Adara
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
|
E245313
|
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: Adara | Statement: [Atauro, hasSettlement, Adara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adara Context triple: [Atauro, hasSettlement, Adara]
-
A.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
B.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
E.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
- 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: Adara Triple: [Atauro, hasSettlement, Adara]
Generated description
Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adara Target entity description: Adara is a small coastal village on Atauro Island in East Timor, known for its traditional fishing community and nearby coral reefs popular with divers and snorkelers.
-
A.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
B.
Alodia
Alodia was a medieval Nubian Christian kingdom centered in what is now Sudan, known as one of the last surviving Nubian states along the Nile.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
E.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfecea6c8190b762bbfda8490e31 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655245c48190a37f4b6344a9a3dc |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6656f7788190818179d923b11bba |
completed | March 9, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66cc3ac0819096e3f246b10e7761 |
completed | March 9, 2026, 6:21 a.m. |
Created at: March 4, 2026, 7:46 p.m.