Triple
T29641210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford Crown Victoria |
E755864
|
entity |
| Predicate | commonUsePeriodAsTaxi |
P193660
|
FINISHED |
| Object | 1990s–2010s |
—
|
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: 1990s–2010s | Statement: [Ford Crown Victoria, commonUsePeriodAsTaxi, 1990s–2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonUsePeriodAsTaxi Context triple: [Ford Crown Victoria, commonUsePeriodAsTaxi, 1990s–2010s]
-
A.
hasDrivingCabs
Indicates that an entity (such as a vehicle or train) is equipped with one or more driving cabs from which it can be operated or controlled.
-
B.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
C.
hasPublicTransportUsage
Indicates that an entity makes use of, or is associated with the use of, public transportation services.
-
D.
hasTaxiStand
Indicates that a location or facility includes or is served by a designated taxi stand area where taxis can wait for passengers.
-
E.
servesAirTaxi
Indicates that one entity provides air taxi transportation services to or on behalf 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 28, 2026, 6:47 p.m.