Triple
T15681135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Spéciale d’Architecture |
E377578
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ESA |
E377578
|
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: ESA | Statement: [École Spéciale d’Architecture, abbreviation, ESA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESA Context triple: [École Spéciale d’Architecture, abbreviation, ESA]
-
A.
ESA
ESA is a major professional organization dedicated to advancing the science and practice of ecology.
-
B.
ESA
chosen
ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
-
C.
ESA
ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
-
D.
ESA
ESA is a landmark U.S. environmental law that provides for the conservation and protection of threatened and endangered plant and animal species and their habitats.
-
E.
ESA
ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.