Triple
T22606641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matarraña comarca |
E566578
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Fuentespalda |
—
|
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: Fuentespalda | Statement: [Matarraña comarca, containsSettlement, Fuentespalda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuentespalda Context triple: [Matarraña comarca, containsSettlement, Fuentespalda]
-
A.
Fuentespalda
chosen
Fuentespalda is a small rural municipality in the Matarranya comarca of eastern Aragon, Spain, known for its traditional architecture and scenic natural surroundings.
-
B.
Arévalo
Arévalo is a historic town in Spain’s Castile and León region, known for its well-preserved medieval architecture and Mudejar-style monuments.
-
C.
Andújar
Andújar is a historic town in the province of Jaén, Andalusia, Spain, known for its olive oil production and its location near the Sierra de Andújar Natural Park.
-
D.
Benacazón
Benacazón is a town in the province of Seville, Spain, known for serving as an endpoint on the Seville commuter rail network.
-
E.
Lucera
Lucera is a historic city in Italy’s Apulia region, known for its medieval fortress and rich blend of Roman, medieval, and Islamic heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:54 p.m.