Triple
T25735489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Fargo (CL-85) |
E645365
|
entity |
| Predicate | associatedCarrier |
P195033
|
FINISHED |
| Object | USS Langley (CVL-27) |
—
|
NE NERFINISHED |
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: USS Langley (CVL-27) | Statement: [USS Fargo (CL-85), associatedCarrier, USS Langley (CVL-27)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCarrier Context triple: [USS Fargo (CL-85), associatedCarrier, USS Langley (CVL-27)]
-
A.
marketingCarrier
Indicates the carrier that markets or sells a transportation service, which may differ from the carrier that actually operates it.
-
B.
eligibleCarrier
Indicates that one entity is a valid or qualified carrier option for another entity under specified conditions.
-
C.
carrierOf
Indicates that one entity serves as the medium, vehicle, or host that contains, transports, or conveys another entity.
-
D.
associatedFlagCarrier
Indicates that one entity serves as the designated national or primary flag carrier airline associated with another entity (such as a country, region, or organization).
-
E.
intendedCarrier
Indicates that one entity is designated or planned to serve as the carrier or transporter of another entity.
- 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: April 21, 2026, 11:25 p.m.