Triple
T14050363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rumuokoro |
E338071
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Rumuosi |
E339326
|
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: Rumuosi | Statement: [Rumuokoro, nearbyArea, Rumuosi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rumuosi Context triple: [Rumuokoro, nearbyArea, Rumuosi]
-
A.
Rumuosi
chosen
Rumuosi is a prominent town in Rivers State, Nigeria, situated within the Obio-Akpor Local Government Area and forming part of the greater Port Harcourt metropolitan region.
-
B.
Horezu
Horezu is a small Romanian town renowned for its traditional pottery and UNESCO-recognized ceramic craftsmanship.
-
C.
Târnăveni
Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
-
D.
Răhău
Răhău is a village administered by the town of Sebeș in Alba County, central Romania.
-
E.
Cahuleni
Cahuleni is a village-level settlement located within Leova District in southwestern Moldova.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc345a4c081908f803cc53b4f8bca |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.