Triple
T18648424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Shakespeare Festival |
E455865
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ASF |
—
|
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: ASF | Statement: [Alabama Shakespeare Festival, abbreviation, ASF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASF Context triple: [Alabama Shakespeare Festival, abbreviation, ASF]
-
A.
ASF
ASF is Mexico’s federal supreme audit institution responsible for overseeing and evaluating the use of public funds by government entities.
-
B.
ASF
ASF is the commonly used acronym for the Apache Software Foundation, a nonprofit organization that supports numerous open-source software projects.
-
C.
ASF
chosen
ASF is a major professional regional theatre company in Montgomery, Alabama, renowned for its productions of Shakespearean and contemporary plays.
-
D.
ASF
ASF is a major French motorway concession company responsible for operating and maintaining a significant portion of France’s autoroute network.
-
E.
ASF
ASF is the abbreviation for the Swiss Football Association, the governing body of football in Switzerland.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500f007c81908b1835569be913d7 |
completed | April 19, 2026, 9:58 p.m. |
Created at: April 10, 2026, 11:47 a.m.