Triple
T878006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PASP |
E18965
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | PASP |
E18965
|
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: PASP | Statement: [PASP, acronym, PASP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PASP Context triple: [PASP, acronym, PASP]
-
A.
PASP
chosen
PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
-
B.
PPAS
PPAS is a New York City public school specializing in rigorous academic education combined with intensive training in the performing arts for middle and high school students.
-
C.
PAPPG
PAPPG is the National Science Foundation’s comprehensive guide outlining the policies, procedures, and requirements for preparing and managing NSF grant proposals and awards.
-
D.
PSF
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
-
E.
P&S
P&S is the commonly used abbreviation for the Columbia University Vagelos College of Physicians and Surgeons, a leading medical school in New York City.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acb06ea88190962502172d434eb4 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b854469c81908dc4a5c29ee140a4 |
completed | March 4, 2026, 4:43 a.m. |
Created at: March 1, 2026, 7:39 p.m.