Triple
T7214874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Lijn bus lines |
E149505
|
entity |
| Predicate | usesRealTimeInformation |
P30947
|
FINISHED |
| Object | real-time departure data |
—
|
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: real-time departure data | Statement: [De Lijn bus lines, usesRealTimeInformation, real-time departure data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRealTimeInformation Context triple: [De Lijn bus lines, usesRealTimeInformation, real-time departure data]
-
A.
hasRealTimeInformation
chosen
Indicates that up-to-date, continuously refreshed information is available about the related entity or event.
-
B.
isCalculatedInRealTime
Indicates that the value or result is computed dynamically at the moment of use rather than being precomputed or stored.
-
C.
basedOnRealLocation
Indicates that something is derived from, inspired by, or modeled after an actual geographic place in the real world.
-
D.
supportsRealTimePresence
Indicates that an entity provides or enables real-time awareness of other users’ current status, activity, or availability.
-
E.
realityStatus
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98ebe1c81909891b4a1c2c3a4aa |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:53 p.m.