Triple
T3213586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idoma people |
E67337
|
entity |
| Predicate | locality |
P7943
|
FINISHED |
| Object |
Obi
Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
|
E338087
|
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: Obi | Statement: [Idoma people, locality, Obi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obi Context triple: [Idoma people, locality, Obi]
-
A.
Obin
Obin is a surname most notably associated with Haitian painter Philomé Obin and his family of influential artists.
-
B.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
C.
Oba
Oba is a Yoruba river orisha revered as one of the wives of the thunder god Shango, associated with marital fidelity, sacrifice, and emotional resilience.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
- 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: Obi Triple: [Idoma people, locality, Obi]
Generated description
Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Obi Target entity description: Obi is a local government area and town in Benue State, Nigeria, traditionally associated with and inhabited by the Idoma people.
-
A.
Obin
Obin is a surname most notably associated with Haitian painter Philomé Obin and his family of influential artists.
-
B.
Ziro
Ziro is a picturesque valley town in northeastern India known for its Apatani tribal culture, rice fields, and the annual Ziro Music Festival.
-
C.
Oba
Oba is a Yoruba river orisha revered as one of the wives of the thunder god Shango, associated with marital fidelity, sacrifice, and emotional resilience.
-
D.
Shinya
Shinya is a Japanese given name commonly used for males.
-
E.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
- 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_69adaabd01d48190be0dc610b9987a25 |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26237211c81908cddc4e8d42e497e |
completed | March 12, 2026, 6:50 a.m. |
| NEDg | Description generation | batch_69b264c446088190a1651e108279c7ba |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265ef74d081908fe4dd4998dbf240 |
completed | March 12, 2026, 7:06 a.m. |
Created at: March 8, 2026, 3:07 p.m.