Triple
T10985723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natchitoches, Louisiana |
E259623
|
entity |
| Predicate | festivalFeature |
P96461
|
FINISHED |
| Object | extensive Christmas light displays |
—
|
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: extensive Christmas light displays | Statement: [Natchitoches, Louisiana, festivalFeature, extensive Christmas light displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: festivalFeature Context triple: [Natchitoches, Louisiana, festivalFeature, extensive Christmas light displays]
-
A.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
B.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
C.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
-
D.
festivalAttracts
Indicates that a festival draws or brings in attendees, participants, or interest toward itself.
-
E.
mainFestival
Indicates that an event is the primary or central festival associated with a particular context, place, or entity.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b2e4a88190a81504eee77e2298 |
completed | April 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69d72e9055908190b438f039574aaaaf |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.