Triple
T15878448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Lafia |
E385010
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Lafia |
E368488
|
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: Lafia | Statement: [Federal University of Lafia, locatedIn, Lafia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lafia Context triple: [Federal University of Lafia, locatedIn, Lafia]
-
A.
Lafia
chosen
Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
-
B.
Faya
Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
-
C.
Lafiya
Lafiya is a town associated with the Bachama people in Nigeria, serving as one of their local settlements.
-
D.
Flisa
Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
-
E.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.