Triple
T15863543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Federal Reserve District |
E384650
|
entity |
| Predicate | includesTimeZonePart |
P3413
|
FINISHED |
| Object | Mountain Time Zone (El Paso area) |
—
|
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: Mountain Time Zone (El Paso area) | Statement: [Dallas Federal Reserve District, includesTimeZonePart, Mountain Time Zone (El Paso area)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTimeZonePart Context triple: [Dallas Federal Reserve District, includesTimeZonePart, Mountain Time Zone (El Paso area)]
-
A.
includesTimeZoneAbbreviation
Indicates that something explicitly contains or specifies a time zone abbreviation as part of its representation or data.
-
B.
partOfTimeZone
Indicates that one time-related entity (such as a time, date-time, or region) belongs to or falls within a specific time zone.
-
C.
hasTimeZoneNote
Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
-
D.
timeZoneDependence
Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
-
E.
hasTimeZones
chosen
Indicates that an entity is associated with one or more time zones in which it is valid or operates.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.