Triple
T5885563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cueto Municipality |
E130851
|
entity |
| Predicate | dstUtcOffset |
P25647
|
FINISHED |
| Object | −04:00 |
—
|
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: −04:00 | Statement: [Cueto Municipality, dstUtcOffset, −04:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dstUtcOffset Context triple: [Cueto Municipality, dstUtcOffset, −04:00]
-
A.
previousUTCOffset
Indicates the UTC time offset that applied to an entity (such as a timezone or location) immediately before the current or given offset.
-
B.
offsetInSecondsFromUTC
Indicates the time difference, measured in whole seconds, between a given time reference and Coordinated Universal Time (UTC).
-
C.
usesUTCOffset
Indicates that one entity applies or relies on the specified UTC time offset for timekeeping or timestamp interpretation.
-
D.
offsetFromUTC
chosen
Indicates the time difference between a given time value and Coordinated Universal Time (UTC), typically expressed as an offset in hours and/or minutes.
-
E.
offsetFromUTCInHours
Indicates the number of hours a time value is offset from Coordinated Universal Time (UTC), positive for time zones ahead and negative for those behind.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.