Triple
T21910496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq Campaign Medal |
E541045
|
entity |
| Predicate | areaOfEligibility |
P122239
|
FINISHED |
| Object | land area of Iraq |
—
|
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: land area of Iraq | Statement: [Iraq Campaign Medal, areaOfEligibility, land area of Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfEligibility Context triple: [Iraq Campaign Medal, areaOfEligibility, land area of Iraq]
-
A.
eligibilityArea
chosen
Indicates that a specified geographic or conceptual area defines where something (such as a person, item, or activity) is eligible or permitted.
-
B.
eligibility
Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
-
C.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
D.
eligibilityUnit
Indicates that one entity serves as the unit or basis used to determine another entity’s eligibility for a benefit, status, or condition.
-
E.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d9796881909fc1454a7b61b8fe |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:40 p.m.