Triple
T14186891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makin |
E351600
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Kiebu
Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
|
E1086296
|
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: Kiebu | Statement: [Makin, hasCapital, Kiebu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiebu Context triple: [Makin, hasCapital, Kiebu]
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Kietrz
Kietrz is a small town in southwestern Poland near the Czech border, known for its agricultural surroundings and historical ties to the Silesia region.
-
C.
Kaikesi
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Jurbarkas
Jurbarkas is a small Lithuanian town situated on the banks of the Nemunas River, known for its historical significance and scenic surroundings.
- 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: Kiebu Triple: [Makin, hasCapital, Kiebu]
Generated description
Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiebu Target entity description: Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
-
A.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
B.
Kietrz
Kietrz is a small town in southwestern Poland near the Czech border, known for its agricultural surroundings and historical ties to the Silesia region.
-
C.
Kaikesi
Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
-
D.
Kaleibar
Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
-
E.
Jurbarkas
Jurbarkas is a small Lithuanian town situated on the banks of the Nemunas River, known for its historical significance and scenic surroundings.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cd5778819092a03597bcdcc182 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19433dc08190b4d2f1aef1b2d67d |
completed | May 7, 2026, 10:59 p.m. |
| NEDg | Description generation | batch_69fd1ad65b608190b325c82347a3d8b3 |
completed | May 7, 2026, 11:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd1b68e8288190a9e9e3d855ed2719 |
completed | May 7, 2026, 11:08 p.m. |
Created at: April 10, 2026, 1:03 a.m.