Triple
T35157916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohunbe |
E1015178
|
entity |
| Predicate | sharesStateWithCity |
P202076
|
FINISHED |
| Object | Abeokuta |
—
|
NE NERFINISHED |
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: Abeokuta | Statement: [Ohunbe, sharesStateWithCity, Abeokuta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesStateWithCity Context triple: [Ohunbe, sharesStateWithCity, Abeokuta]
-
A.
sharesAreaWith
Indicates that two entities occupy or overlap the same geographic or spatial area.
-
B.
sharesContextWith
Indicates that two entities occur within or are associated with the same situational, semantic, or environmental context.
-
C.
sharesCommunityWith
Indicates that two entities belong to or participate in the same community or communal group.
-
D.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
E.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
- F. None of above. chosen
Provenance (4 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a004c41f13c8190bc47daf6a5ca3949 |
completed | May 10, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_6a004bce3e3081909b35ae5b3bf2b35e |
completed | May 10, 2026, 9:11 a.m. |
| PDg | Predicate description generation | batch_6a004c41009c8190b18e41acf1fd7372 |
completed | May 10, 2026, 9:13 a.m. |
Created at: May 3, 2026, 4:02 p.m.