Triple
T27646579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IXM |
E696727
|
entity |
| Predicate | usedForPassengerTraffic |
P108512
|
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: [IXM, usedForPassengerTraffic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedForPassengerTraffic Context triple: [IXM, usedForPassengerTraffic, true]
-
A.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
-
B.
servesPassengerTrafficTo
chosen
Indicates that a transportation facility or service provides regular passenger traffic access or operations to a particular location or area.
-
C.
usesPassengerCars
Indicates that an entity operates or employs passenger cars as part of its activities or services.
-
D.
usedForPassengerInformation
Indicates that something serves the purpose of providing information to passengers.
-
E.
servesPassengerTrafficType
Indicates that a transportation facility or service accommodates a specified type or category of passenger traffic.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 2:29 p.m.