Triple
T12834453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikom |
E306871
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Obudu |
E306874
|
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: Obudu | Statement: [Ikom, roadConnection, Obudu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obudu Context triple: [Ikom, roadConnection, Obudu]
-
A.
Obudu
chosen
Obudu is a prominent town in southeastern Nigeria known for its scenic highlands and proximity to the Obudu Mountain Resort in Cross River State.
-
B.
Balewa
Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
-
C.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
-
D.
Habash
Habash is an Arabic surname most notably associated with George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
-
E.
Bele
Bele is a surname of likely Turkish or Balkan origin, borne by individuals such as Refet Bele.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edaa6288190a775f6e852fa941b |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:34 p.m.