Triple
T6844483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaiang |
E157857
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Aonobuaka
Aonobuaka is a village settlement located on the atoll of Abaiang in Kiribati.
|
E627392
|
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: Aonobuaka | Statement: [Abaiang, hasSettlement, Aonobuaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aonobuaka Context triple: [Abaiang, hasSettlement, Aonobuaka]
-
A.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Akawaio
The Akawaio are an Indigenous people of the Guiana Highlands in Guyana, Venezuela, and Brazil, known for their Cariban language and traditional forest-based way of life.
-
D.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
-
E.
Ōkuboji
Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
- 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: Aonobuaka Triple: [Abaiang, hasSettlement, Aonobuaka]
Generated description
Aonobuaka is a village settlement located on the atoll of Abaiang in Kiribati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aonobuaka Target entity description: Aonobuaka is a village settlement located on the atoll of Abaiang in Kiribati.
-
A.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Akawaio
The Akawaio are an Indigenous people of the Guiana Highlands in Guyana, Venezuela, and Brazil, known for their Cariban language and traditional forest-based way of life.
-
D.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
-
E.
Ōkuboji
Ōkuboji is a Buddhist temple in Kagawa Prefecture, Japan, best known as the final stop on the historic Shikoku 88-temple pilgrimage.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b8627081908e34d2b942d08aef |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748b5a7c08190983bd355a1bc76d7 |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c74a8717148190936dd9331b90e0db |
completed | March 28, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74b08e6b48190ab0a4313ede456a8 |
completed | March 28, 2026, 3:29 a.m. |
Created at: March 27, 2026, 2:19 p.m.