Triple
T23121885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albarracín |
E576914
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | city of Teruel |
—
|
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: city of Teruel | Statement: [Albarracín, near, city of Teruel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Teruel Context triple: [Albarracín, near, city of Teruel]
-
A.
city of Teruel
chosen
The city of Teruel is the capital of Spain’s Teruel province, known for its Mudéjar architecture and historic medieval heritage.
-
B.
City of Mazarrón
The City of Mazarrón is a coastal municipality in southeastern Spain known for its Mediterranean beaches, fishing and agricultural economy, and archaeological and mining heritage.
-
C.
Teruel province
Teruel province is a sparsely populated region in northeastern Spain, known for its Mudejar architecture, historic towns, and role within the autonomous community of Aragon.
-
D.
Caseres
Caseres is a small rural municipality located in the Terra Alta comarca of Catalonia, Spain, known for its agricultural landscape and traditional village character.
-
E.
Tarancón
Tarancón is a historic market town and important transport hub in central Spain’s Castilla-La Mancha region.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e50c500819095d59aef44388153 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.