Triple
T22402335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Calatrava |
E553790
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Calatrava |
—
|
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: Calatrava | Statement: [Order of Calatrava, namedAfter, Calatrava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calatrava Context triple: [Order of Calatrava, namedAfter, Calatrava]
-
A.
Calatrava
Calatrava is a coastal municipality located on Tablas Island in the province of Romblon, Philippines.
-
B.
Santiago Calatrava
Santiago Calatrava is a renowned Spanish architect, structural engineer, and sculptor known for his futuristic, sculptural buildings and bridges that often feature sweeping white forms and innovative engineering.
-
C.
José María Calatrava
chosen
José María Calatrava was a Spanish liberal politician and jurist who served as Prime Minister during the early 19th century constitutional period.
-
D.
Urquiola
Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
-
E.
Gaudi
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b565c48190b0f6c19f17995b40 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.