Triple
T2071115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Chief Marshal |
E44817
|
entity |
| Predicate | starRank |
P1944
|
FINISHED |
| Object | four-star |
—
|
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: four-star | Statement: [Air Chief Marshal, starRank, four-star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starRank Context triple: [Air Chief Marshal, starRank, four-star]
-
A.
SSRank
Indicates a ranking relationship that orders entities based on their social status, standing, or relative importance within a specified context.
-
B.
rankedBy
Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
-
C.
rankedAs
chosen
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
D.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
E.
rankingPoints
Indicates the number of points assigned to an entity based on its position or performance in a ranking or competition.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0d20bc8190b19a32157f8b1607 |
completed | March 7, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69abb7b0edac8190a58eabee55f73deb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:41 p.m.