Triple
T281010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E (New York City Subway service) |
E5353
|
entity |
| Predicate | nightServicePattern |
P9557
|
FINISHED |
| Object | local in Queens during late nights |
—
|
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: local in Queens during late nights | Statement: [E (New York City Subway service), nightServicePattern, local in Queens during late nights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nightServicePattern Context triple: [E (New York City Subway service), nightServicePattern, local in Queens during late nights]
-
A.
budTime
Indicates the time or period when a bud forms or begins to develop.
-
B.
skyQuality
Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
-
C.
numberOfBrightNakedEyeStars
Indicates the count of stars that are bright enough to be seen with the naked eye.
-
D.
kitPattern
Indicates the design or visual pattern featured on a team's kit or uniform.
-
E.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
- F. None of above. chosen
Provenance (4 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25e06dd7c8190a8cbb76cee3c6e4b |
completed | Feb. 28, 2026, 3:16 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.