Triple
T20840007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatch, New Mexico |
E513068
|
entity |
| Predicate | Hatch Chile FestivalMonth |
P38636
|
FINISHED |
| Object | Labor Day weekend |
—
|
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: Labor Day weekend | Statement: [Hatch, New Mexico, Hatch Chile FestivalMonth, Labor Day weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Hatch Chile FestivalMonth Context triple: [Hatch, New Mexico, Hatch Chile FestivalMonth, Labor Day weekend]
-
A.
harvestFestival
Indicates a relationship where a community or group holds a celebratory event or ritual to mark and give thanks for the gathering of crops or agricultural produce.
-
B.
seCelebraEn
Indicates that an event or occasion takes place or is held at a specific location or venue.
-
C.
festivalObserved
chosen
Indicates that a particular festival is celebrated, observed, or commemorated by an entity (such as a person, group, or community).
-
D.
holidayFood
Indicates that something is a type of food traditionally associated with or consumed during a holiday or festive occasion.
-
E.
isOnlyMonthWithNoFestivals
Indicates that the specified month is the unique month in a given context during which no festivals occur.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34a60848190b33078172675f8d7 |
completed | April 21, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.