Triple
T7134855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béjar campus |
E166279
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Béjar |
E655675
|
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: Béjar | Statement: [Béjar campus, regionServed, Béjar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béjar Context triple: [Béjar campus, regionServed, Béjar]
-
A.
Béjar
chosen
Béjar is a historic town in the province of Salamanca, Spain, known for its textile heritage and scenic setting in the Sierra de Béjar mountains.
-
B.
Badajoz
Badajoz is a historic city in western Spain near the Portuguese border, known for its medieval fortress and role as a strategic frontier stronghold.
-
C.
Cáceres
Cáceres is a historic Spanish city renowned for its exceptionally well-preserved medieval and Renaissance old town, designated as a UNESCO World Heritage Site.
-
D.
Cuéllar
Cuéllar is a historic town in the province of Segovia, Spain, known for its medieval architecture, including a well-preserved castle and numerous Mudéjar-style churches.
-
E.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e690f954819084b81a555f4cdb5e |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eec29d8c81909d9123b48b195f98 |
completed | March 28, 2026, 3:07 p.m. |
Created at: March 27, 2026, 2:45 p.m.