Triple
T12715748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross River |
E303833
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object | Calabar |
E87286
|
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: Calabar | Statement: [Cross River, hasMouthNear, Calabar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calabar Context triple: [Cross River, hasMouthNear, Calabar]
-
A.
Calabar
chosen
Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
-
B.
Ebolowa
Ebolowa is a city in southern Cameroon that serves as an administrative and commercial center for the surrounding agricultural region.
-
C.
Ewondo
Ewondo is a Bantu language spoken primarily by the Ewondo people in central Cameroon, including in and around the capital city, Yaoundé.
-
D.
Nkawkaw
Nkawkaw is a major commercial town and transport hub in southern Ghana, located along the Accra–Kumasi highway at the base of the Kwahu Plateau.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c802e248190865a6561ad1bf0b6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:23 p.m.