Triple
T7462446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companion Pass |
E176283
|
entity |
| Predicate | excludesFromQualification |
P3119
|
FINISHED |
| Object | purchased points |
—
|
LITERAL 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: purchased points | Statement: [Companion Pass, excludesFromQualification, purchased points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: excludesFromQualification Context triple: [Companion Pass, excludesFromQualification, purchased points]
-
A.
excludedFrom
Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
-
B.
excludesAward
Indicates that one entity explicitly omits or disqualifies another entity from receiving a particular award.
-
C.
nonEligibility
Indicates that an entity does not meet the required conditions or criteria to qualify for a specified status, benefit, or action.
-
D.
reasonForDisqualification
Indicates the specific cause or justification for which an entity was deemed ineligible or disqualified from consideration or participation.
-
E.
excludes
chosen
Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
- F. None of above.
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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d80ae08190ba383066cf0cb2ce |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:39 p.m.