Triple
T14845393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonriki |
E349071
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Temaiku
Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
|
E1123948
|
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: Temaiku | Statement: [Bonriki, nearbySettlement, Temaiku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temaiku Context triple: [Bonriki, nearbySettlement, Temaiku]
-
A.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
B.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
C.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
D.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
E.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
- 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: Temaiku Triple: [Bonriki, nearbySettlement, Temaiku]
Generated description
Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Temaiku Target entity description: Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
-
A.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
B.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
C.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
D.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
-
E.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe65010190819083ec051eb5d82839 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66bae148819080b3d6d3526a0dbb |
completed | May 8, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6736ff34819098524e4401a414aa |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 10, 2026, 1:53 a.m.