Triple
T13937380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choba campus |
E335153
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Choba |
E338076
|
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: Choba | Statement: [Choba campus, locatedIn, Choba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choba Context triple: [Choba campus, locatedIn, Choba]
-
A.
Choba
chosen
Choba is a prominent town in Rivers State, Nigeria, known for hosting the main campus of the University of Port Harcourt and serving as a key residential and commercial hub in the Obio-Akpor area.
-
B.
Kabua
Kabua is a Marshallese surname most notably associated with Amata Kabua, the first President of the Marshall Islands.
-
C.
Bua
Bua is a province on the island of Vanua Levu in Fiji, known for its rural communities and largely undeveloped natural landscapes.
-
D.
Iboro
Iboro is a major town in Yewa North Local Government Area of Ogun State in southwestern Nigeria.
-
E.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf42878819085146670d7b92605 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce880a98819086ae25d3408bc723 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.