Triple
T3173454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 6 |
E66406
|
entity |
| Predicate | conversionToRubberTyres |
P11362
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Paris Métro Line 6, conversionToRubberTyres, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionToRubberTyres Context triple: [Paris Métro Line 6, conversionToRubberTyres, 1970s]
-
A.
isRubberTyred
Indicates that something operates or is equipped with rubber tires rather than steel wheels or another type of running gear.
-
B.
tireType
Indicates the specific kind or category of tire associated with an entity.
-
C.
wheelType
chosen
Indicates the specific kind or category of wheel associated with an entity.
-
D.
tyreSupplier
Indicates that one entity supplies or provides tyres to another entity.
-
E.
usedTractionType
Indicates the type of traction or drive mechanism that was employed in performing the action or operating the entity.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66facf881908b9ec687d68ce91b |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0076b4819094628f1ad10b8f68 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.