Triple
T2229769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Polo Club |
E48736
|
entity |
| Predicate | allowsEarningOn |
P30192
|
FINISHED |
| Object | Cathay Pacific flights |
—
|
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: Cathay Pacific flights | Statement: [Marco Polo Club, allowsEarningOn, Cathay Pacific flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsEarningOn Context triple: [Marco Polo Club, allowsEarningOn, Cathay Pacific flights]
-
A.
earnOn
chosen
Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
-
B.
allowsPromotion
Indicates that one entity grants permission or enables another entity to be promoted to a higher status, level, or position.
-
C.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
D.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
E.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.