Triple
T17550110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abanilla |
E427436
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Orihuela |
—
|
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: Orihuela | Statement: [Abanilla, borderedBy, Orihuela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orihuela Context triple: [Abanilla, borderedBy, Orihuela]
-
A.
Orihuela
chosen
Orihuela is a historic city in southeastern Spain known for its rich medieval heritage, religious architecture, and role as a regional cultural center.
-
B.
Mazarrón
Mazarrón is a coastal town and popular tourist destination in Spain’s Region of Murcia, known for its beaches, marina, and archaeological heritage.
-
C.
Jumilla
Jumilla is a Spanish wine region in the province of Murcia, renowned for its robust red wines, particularly those made from the Mourvèdre (Monastrell) grape.
-
D.
Yecla
Yecla is a Spanish wine region in the province of Murcia, particularly noted for its robust red wines made predominantly from the Mourvèdre (Monastrell) grape.
-
E.
Alicante
Alicante is a historic Mediterranean port city in southeastern Spain known for its beaches, castle-topped hill, and role as a major tourist and commercial center.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45463ddf88190a2c29f3246adcb6e |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:50 a.m.