Triple
T3983798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris public transport network |
E86820
|
entity |
| Predicate | hasNightService |
P9559
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Paris public transport network, hasNightService, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightService Context triple: [Paris public transport network, hasNightService, Yes]
-
A.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
B.
hasNightTubeServiceOn
Indicates that a transport service operates Night Tube (overnight) service on the specified day or line.
-
C.
nightService
chosen
Indicates that a service operates or is available during nighttime hours.
-
D.
nightServiceSubstitute
Indicates that one entity serves as a replacement or stand-in for another in providing night-time service.
-
E.
hasAfterHoursSession
Indicates that an entity conducts or participates in a session that takes place outside of regular or standard operating hours.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa3ef7ac8190abe02f440ff83c43 |
completed | March 9, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69aef8f492ac819089dbb9436dbcdd2b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.