Triple
T34324463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HIP 105515 |
E880827
|
entity |
| Predicate | isWesternStar |
P178883
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HIP 105515, isWesternStar, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWesternStar Context triple: [HIP 105515, isWesternStar, true]
-
A.
usesRollingStockBrand
Indicates that one entity employs or operates rolling stock manufactured under a specific brand.
-
B.
isAmStar
Indicates that an entity is considered a star, typically signifying high prominence, fame, or central importance in a given context.
-
C.
mainTruckProducer
Indicates that the subject is the primary manufacturer or producer of trucks for the object.
-
D.
hasSternType
Indicates that an entity (typically a vessel) possesses a specific type or design of stern.
-
E.
isFullServiceCarrier
Indicates that an airline operates as a full-service carrier, providing a wide range of services (such as checked baggage, in-flight meals, and multiple cabin classes) typically included in the ticket price.
- F. None of above. chosen
Provenance (4 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_69f349b9cd508190a996a616903b3e6d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:58 a.m.