Triple
T2652123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festival of Lights |
E53923
|
entity |
| Predicate | candleCountOnHanukkiah |
P41943
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Festival of Lights, candleCountOnHanukkiah, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: candleCountOnHanukkiah Context triple: [Festival of Lights, candleCountOnHanukkiah, 9]
-
A.
candlesLitFirstNight
Indicates that the candles were lit on the first night of an event, ritual, or sequence.
-
B.
hasNumberOfShamashLights
Indicates the relationship specifying how many Shamash (helper) lights are present or associated with an object or setting.
-
C.
candlesLitLastNight
Indicates that the specified candles were lit during the previous night.
-
D.
numberOfChandeliers
Indicates the quantity of chandeliers associated with a given entity or context.
-
E.
candleLightingFrequency
Indicates how often a candle-lighting action occurs within a given time period.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.