Triple
T3554941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasarawa State |
E75196
|
entity |
| Predicate | majorEthnicGroup |
P1898
|
FINISHED |
| Object | Tiv |
E321208
|
NE FINISHED |
How this triple was built (2 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: Tiv | Statement: [Nasarawa State, majorEthnicGroup, Tiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiv Context triple: [Nasarawa State, majorEthnicGroup, Tiv]
-
A.
Tiv
chosen
The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Tuvok
Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
-
D.
Mi TV
Mi TV is a line of smart televisions by Xiaomi that run on the Android TV platform, offering integrated streaming apps and smart features.
-
E.
Tor Tiv
Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0569fbc81909b855b6990c1415b |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bf1c3e881908e7fc3b4df24e72b |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.