Triple
T2652189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shamash |
E53924
|
entity |
| Predicate | quantityPerMenorah |
P25837
|
FINISHED |
| Object | one per menorah |
—
|
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: one per menorah | Statement: [Shamash, quantityPerMenorah, one per menorah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quantityPerMenorah Context triple: [Shamash, quantityPerMenorah, one per menorah]
-
A.
hasNumberOfShamashLights
chosen
Indicates the relationship specifying how many Shamash (helper) lights are present or associated with an object or setting.
-
B.
numberOfChandeliers
Indicates the quantity of chandeliers associated with a given entity or context.
-
C.
numberOfLights
Indicates the quantity of lights associated with or present on a given entity.
-
D.
candlesLitFirstNight
Indicates that the candles were lit on the first night of an event, ritual, or sequence.
-
E.
hasNumberOfMainLights
Indicates the relationship that specifies how many primary or main lights are associated with an 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_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. |
Created at: March 6, 2026, 9:53 p.m.