Triple
T12604168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collegiate Church of Santa María la Mayor (Caspe) |
E300931
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Caspe |
E300930
|
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: Caspe | Statement: [Collegiate Church of Santa María la Mayor (Caspe), locatedIn, Caspe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caspe Context triple: [Collegiate Church of Santa María la Mayor (Caspe), locatedIn, Caspe]
-
A.
Caspe
chosen
Caspe is a historic town in the province of Zaragoza, Aragon, Spain, known for its strategic location and its role in medieval Iberian politics.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Balazote
Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
-
E.
Maragall
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e6e20481908bca684c4b497c48 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ecb09e481909d688f174372dde7 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:10 p.m.