Triple
T13162588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USMA |
E312762
|
entity |
| Predicate | basedInDistrict |
P29284
|
FINISHED |
| Object | Bologhine |
E1006386
|
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: Bologhine | Statement: [USMA, basedInDistrict, Bologhine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bologhine Context triple: [USMA, basedInDistrict, Bologhine]
-
A.
Bologhine
chosen
Bologhine is a coastal district of Algiers, Algeria, known for its historic neighborhoods and proximity to the Mediterranean Sea.
-
B.
Gambela
Gambela is a town in western Ethiopia located near the Baro River, known as a trading center and gateway to the Gambela Region bordering South Sudan.
-
C.
Takelsa
Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
-
D.
Kamarata
Kamarata is a small indigenous village in southeastern Venezuela, known as a gateway to the Gran Sabana region and the nearby Auyán-tepui and Angel Falls.
-
E.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf4cd788190b74cca51b5219bfb |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:12 p.m.