Triple
T13066172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Exchange |
E329329
|
entity |
| Predicate | customerEligibility |
P24457
|
FINISHED |
| Object | active duty Marines |
—
|
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: active duty Marines | Statement: [Marine Corps Exchange, customerEligibility, active duty Marines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: customerEligibility Context triple: [Marine Corps Exchange, customerEligibility, active duty Marines]
-
A.
cardEligibility
Indicates whether an entity qualifies for or is allowed to receive a particular card under specified criteria.
-
B.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
C.
eligibilityContext
chosen
Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
-
D.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
E.
eligibilityCategory
Indicates the classification or type of eligibility that applies to an entity within a given 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:59 p.m.