Triple
T37916363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airport Loop Trail |
E945827
|
entity |
| Predicate | highlightTime |
P103314
|
FINISHED |
| Object | sunset |
—
|
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: sunset | Statement: [Airport Loop Trail, highlightTime, sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highlightTime Context triple: [Airport Loop Trail, highlightTime, sunset]
-
A.
recordHighlight
Indicates that an entity is marked or stored as a notable or emphasized point within a larger record or sequence.
-
B.
highlightsSign
Indicates that one entity visually emphasizes or draws special attention to a sign.
-
C.
timeOfDayEmphasized
chosen
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
D.
showsTimeOf
Indicates that one entity displays or reveals the specific time at which another entity occurs or is scheduled.
-
E.
showsTimePeriod
Indicates that one entity presents or displays a specific span or interval of time associated with another 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.