Triple
T2818623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compromise of Caspe |
E54350
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Caspe
Caspe is a historic town in the province of Zaragoza, Aragon, Spain, known for its strategic location and its role in medieval Iberian politics.
|
E300930
|
NE FINISHED |
How this triple was built (4 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: [Compromise of Caspe, location, Caspe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caspe Context triple: [Compromise of Caspe, location, Caspe]
-
A.
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.
-
B.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
C.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
D.
Capiznon
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
E.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Caspe Triple: [Compromise of Caspe, location, Caspe]
Generated description
Caspe is a historic town in the province of Zaragoza, Aragon, Spain, known for its strategic location and its role in medieval Iberian politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caspe Target entity description: Caspe is a historic town in the province of Zaragoza, Aragon, Spain, known for its strategic location and its role in medieval Iberian politics.
-
A.
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.
-
B.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
C.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
D.
Capiznon
Capiznon is an Austronesian language spoken primarily in the province of Capiz on Panay Island in the central Philippines.
-
E.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
- F. None of above. chosen
Provenance (5 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde6c44d881909f8275b6466e2f20 |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afcea4c994819095611958936cf090 |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf12e3a0819098f28d31434a0c5f |
completed | March 10, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcf9c2d308190b111aa8038c9227a |
completed | March 10, 2026, 8 a.m. |
Created at: March 6, 2026, 9:59 p.m.