Triple
T23793383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachi Fire Festival |
E588467
|
entity |
| Predicate | approximateNumberOfTorches |
P37175
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Nachi Fire Festival, approximateNumberOfTorches, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfTorches Context triple: [Nachi Fire Festival, approximateNumberOfTorches, 12]
-
A.
hasApproximateNumberOfSphinxes
Indicates that an entity is associated with an estimated or non-exact count of sphinxes.
-
B.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
C.
hasNumberOfShamashLights
Indicates the relationship specifying how many Shamash (helper) lights are present or associated with an object or setting.
-
D.
numberOfAltars
Indicates the quantity of altars associated with a given entity or context.
-
E.
numberOfLights
chosen
Indicates the quantity of lights associated with or present on a given entity.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6da693481908194cbc9d6a0bfef |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:40 p.m.