Triple
T6844480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaiang |
E157857
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Tabontebike
Tabontebike is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
|
E393857
|
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: Tabontebike | Statement: [Abaiang, hasSettlement, Tabontebike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabontebike Context triple: [Abaiang, hasSettlement, Tabontebike]
-
A.
Tabontebike
Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Mike the Bike
Mike the Bike was the legendary British motorcycle racer Mike Hailwood, renowned for his extraordinary versatility and success across multiple classes and championships.
-
C.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
D.
Banabans
Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
-
E.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
- 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: Tabontebike Triple: [Abaiang, hasSettlement, Tabontebike]
Generated description
Tabontebike is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabontebike Target entity description: Tabontebike is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
-
A.
Tabontebike
chosen
Tabontebike is a village on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
B.
Mike the Bike
Mike the Bike was the legendary British motorcycle racer Mike Hailwood, renowned for his extraordinary versatility and success across multiple classes and championships.
-
C.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
D.
Banabans
Banabans are an indigenous Micronesian people originally from the island of Banaba in present-day Kiribati, known for their displacement due to extensive phosphate mining during the 20th century.
-
E.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
- F. None of above.
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_69c72fbf06008190a8c342d3d7dec930 |
completed | March 28, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c7308d90308190ad38a09a6de0f6df |
completed | March 28, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7311de3cc8190b146ed4fd2b5274a |
completed | March 28, 2026, 1:38 a.m. |
Created at: March 27, 2026, 2:19 p.m.