Triple
T3258740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jukun people |
E68360
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object |
Wukari
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
|
E341597
|
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: Wukari | Statement: [Jukun people, historicalCapital, Wukari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wukari Context triple: [Jukun people, historicalCapital, Wukari]
-
A.
Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
D.
Cabadbaran
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
-
E.
Qara Köz
Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
- 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: Wukari Triple: [Jukun people, historicalCapital, Wukari]
Generated description
Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wukari Target entity description: Wukari is a historic town in present-day Taraba State, Nigeria, long associated with the Jukun people and the traditional Wukari Federation.
-
A.
Ayaş
Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Sarikoli
Sarikoli is an Eastern Iranian language spoken primarily by the Tajik ethnic community in the Tashkurgan region of Xinjiang, China.
-
D.
Cabadbaran
Cabadbaran is a component city in the Caraga region of the Philippines, serving as the capital of the province of Agusan del Norte.
-
E.
Qara Köz
Qara Köz is a mysterious and mesmerizing princess whose beauty and influence drive much of the political and romantic intrigue in Salman Rushdie’s novel *The Enchantress of Florence*.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adafa4f40c81909adfd0f7f568e3ce |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed941cc81909c35853e793d6ce5 |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b2900805d08190afbda5ee5e984b71 |
completed | March 12, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ac4c52d48190a87b1e535c2e8a37 |
completed | March 12, 2026, 12:06 p.m. |
Created at: March 8, 2026, 3:09 p.m.