Triple
T331926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Temple in Jerusalem |
E6642
|
entity |
| Predicate | mainRituals |
P4193
|
FINISHED |
| Object | animal sacrifices |
—
|
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: animal sacrifices | Statement: [First Temple in Jerusalem, mainRituals, animal sacrifices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRituals Context triple: [First Temple in Jerusalem, mainRituals, animal sacrifices]
-
A.
hasRitual
chosen
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
B.
hasLifecycleRitual
Indicates that an entity is associated with a ritual or ceremonial practice marking a significant stage or transition in its lifecycle.
-
C.
hasRitualObject
Indicates that an entity possesses, uses, or is associated with an object specifically employed in a ritual or ceremonial context.
-
D.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
E.
mainDeity
Indicates that one entity serves as the primary or chief deity worshiped, revered, or associated with another entity (such as a religion, temple, or culture).
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.