Triple
T15863263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taifa of Albarracín |
E384643
|
entity |
| Predicate | fortifiedTown |
P81783
|
FINISHED |
| Object | Albarracín |
E576914
|
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: Albarracín | Statement: [Taifa of Albarracín, fortifiedTown, Albarracín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albarracín Context triple: [Taifa of Albarracín, fortifiedTown, Albarracín]
-
A.
Albarracín
chosen
Albarracín is a historic hilltop town in eastern Spain renowned for its well-preserved medieval architecture and dramatic red sandstone setting.
-
B.
Burriana
Burriana is a coastal town in Spain’s Valencian Community known for its Mediterranean beaches and role as a holiday resort on the Costa del Azahar.
-
C.
Montilla
Montilla is a town in the province of Córdoba, Andalusia, Spain, known for its wine production and historical significance.
-
D.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
E.
Daroca
Daroca is a historic fortified town in northeastern Spain known for its medieval walls, towers, and well-preserved old quarter.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555d38fc8190bd8820bb5b238b71 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758380d08190bfe73d3e052c1f0a |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 4:50 a.m.