Triple
T36629084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Colinas Urban Center Station |
E904257
|
entity |
| Predicate | hasRealTimeInfo |
P30947
|
FINISHED |
| Object | electronic arrival displays |
—
|
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: electronic arrival displays | Statement: [Las Colinas Urban Center Station, hasRealTimeInfo, electronic arrival displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRealTimeInfo Context triple: [Las Colinas Urban Center Station, hasRealTimeInfo, electronic arrival displays]
-
A.
hasRealTimeInformation
chosen
Indicates that up-to-date, continuously refreshed information is available about the related entity or event.
-
B.
supportsRealTime
Indicates that one entity provides or enables real-time operation, processing, or interaction for another entity or process.
-
C.
isCalculatedInRealTime
Indicates that the value or result is computed dynamically at the moment of use rather than being precomputed or stored.
-
D.
hasTimeIndication
Indicates that something includes, specifies, or is associated with a particular time-related indication (such as a timestamp, time period, or temporal marker).
-
E.
supportsRealTimeMonitoring
Indicates that an entity provides the capability to observe and track relevant data or events continuously as they occur in real time.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.