Triple
T2944337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Corinth, Texas |
E79463
|
entity |
| Predicate | observesDSTOffset |
P44122
|
FINISHED |
| Object | UTC−05:00 |
—
|
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: UTC−05:00 | Statement: [City of Corinth, Texas, observesDSTOffset, UTC−05:00]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesDSTOffset Context triple: [City of Corinth, Texas, observesDSTOffset, UTC−05:00]
-
A.
observesDaylightSavingTime
Indicates that an entity adjusts its standard time forward and backward according to a daylight saving time schedule.
-
B.
observesDaylightSavingTimeFor
Indicates that one entity follows or applies a specific daylight saving time scheme or rule for another entity (such as a place, time zone, or period).
-
C.
DSTobserved
Indicates that daylight saving time is in effect or being observed for a given time, date, or location.
-
D.
observesDaylightSavingWith
Indicates that one entity follows the same daylight saving time rules or schedule as another entity.
-
E.
previouslyObservedDST
Indicates that the subject has been observed in a context where daylight saving time (DST) was in effect at some point in the past.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b0db5081908e84def20a5e4a2d |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:56 p.m.