Triple
T20691694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PASO |
E508567
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | PASO |
—
|
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: PASO | Statement: [PASO, acronym, PASO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PASO Context triple: [PASO, acronym, PASO]
-
A.
PASO
PASO is a regional aviation safety oversight organization that supports Pacific Island states in maintaining and improving civil aviation safety and regulatory standards.
-
B.
PASO
chosen
PASO is the commonly used acronym for Panam Sports, the continental association responsible for organizing the Pan American Games and promoting Olympic sports across the Americas.
-
C.
PASA
PASA is a peer-reviewed scientific journal that publishes research in astronomy and astrophysics on behalf of the Astronomical Society of Australia.
-
D.
PAS
PAS is a key instrument within the Solar Wind Analyser suite designed to measure the properties of solar wind particles, such as their velocity distribution, density, and temperature.
-
E.
PAS
PAS is Pakistan’s elite civil service cadre responsible for top-tier administrative and policy-making roles in the federal and provincial governments.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10eaccc819085320fffbb0aeceb |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:09 p.m.