Triple
T8746736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kié-Ntem |
E207847
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ebebiyín |
E207843
|
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: Ebebiyín | Statement: [Kié-Ntem, hasSettlement, Ebebiyín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebebiyín Context triple: [Kié-Ntem, hasSettlement, Ebebiyín]
-
A.
Ebebiyín
chosen
Ebebiyín is a town in northeastern Equatorial Guinea, near the borders with Cameroon and Gabon, known as an important regional and commercial center.
-
B.
Eldaah
Eldaah is a minor biblical figure listed in the Hebrew Bible as one of the descendants of Abraham through his wife Keturah.
-
C.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
D.
Bibbona
Bibbona is a historic Tuscan village in central Italy known for its medieval architecture and proximity to the Etruscan Coast.
-
E.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d75e7c88190a9e78fadb979e1b6 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf518750948190a42ad8fc352ac851 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:39 p.m.