Triple
T22690888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professional Referee Organization |
E561046
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | PRO |
—
|
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: PRO | Statement: [Professional Referee Organization, abbreviation, PRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRO Context triple: [Professional Referee Organization, abbreviation, PRO]
-
A.
PRO
chosen
PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
-
B.
PRO
PRO is a shorthand term referring to a Republican legislative or policy proposal, often used in political and governmental contexts.
-
C.
Prom
Prom is a 2011 American teen romantic comedy film that follows a group of high school students as their lives intersect in the lead-up to their prom night.
-
D.
PROF
PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
-
E.
Prem
Prem is an Indian given name commonly used for males, derived from Sanskrit and meaning "love" or "affection."
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789adcc48190b4a717166d5dba19 |
completed | April 29, 2026, 3:18 a.m. |
Created at: April 17, 2026, 3:13 p.m.