Triple
T3209422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kano State |
E67242
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Gaya
Gaya is a historic town and important urban center in northern Nigeria’s Kano State.
|
E338629
|
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: Gaya | Statement: [Kano State, hasMajorCity, Gaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaya Context triple: [Kano State, hasMajorCity, Gaya]
-
A.
Gaya
Gaya is a historic city in the Indian state of Bihar, renowned as a major Hindu and Buddhist pilgrimage center, especially for the Vishnupad Temple and its proximity to Bodh Gaya.
-
B.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
C.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
D.
Daitō
Daitō is a city in Osaka Prefecture, Japan, known as a residential and light industrial suburb within the Osaka metropolitan area.
-
E.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
- 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: Gaya Triple: [Kano State, hasMajorCity, Gaya]
Generated description
Gaya is a historic town and important urban center in northern Nigeria’s Kano State.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaya Target entity description: Gaya is a historic town and important urban center in northern Nigeria’s Kano State.
-
A.
Gaya
Gaya is a historic city in the Indian state of Bihar, renowned as a major Hindu and Buddhist pilgrimage center, especially for the Vishnupad Temple and its proximity to Bodh Gaya.
-
B.
Mori
Mori is a Japanese surname shared by various notable individuals across fields such as entertainment, sports, and politics.
-
C.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
D.
Daitō
Daitō is a city in Osaka Prefecture, Japan, known as a residential and light industrial suburb within the Osaka metropolitan area.
-
E.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab701c48190b91404ab416f7ce3 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2622d4e988190a8a98a0bc9353e3f |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 8, 2026, 3:07 p.m.