Triple
T22906798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eight Schools Association |
E568468
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | ESA |
—
|
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: ESA | Statement: [Eight Schools Association, alternativeName, ESA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESA Context triple: [Eight Schools Association, alternativeName, ESA]
-
A.
ESA
ESA is a major professional organization dedicated to advancing the science and practice of ecology.
-
B.
ESA
ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
-
C.
ESA
chosen
ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
-
D.
ESA
ESA is a professional scientific society dedicated to the study of insects and the advancement of entomological science.
-
E.
ESA
ESA is the EFTA Surveillance Authority, the body responsible for monitoring compliance with European Economic Area rules in the EFTA states.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801a48948190b5f51f1d02351fc7 |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.