Triple
T8442460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canaanite religion |
E199581
|
entity |
| Predicate | mainDeity |
P7648
|
FINISHED |
| Object | Mot |
E196864
|
NE 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: Mot | Statement: [Canaanite religion, mainDeity, Mot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mot Context triple: [Canaanite religion, mainDeity, Mot]
-
A.
Mot
chosen
Mot is the Phoenician god of death and the underworld, associated with sterility, drought, and the cyclical struggle against life-giving deities.
-
B.
Mal
Mal is a common shortened form of the given name Malcolm.
-
C.
Mul
Mul is a town in Maharashtra, India, known as a local commercial and administrative center within Chandrapur district.
-
D.
Nut
Nut is the ancient Egyptian sky goddess, often depicted arching over the earth and associated with the heavens, stars, and the cyclical rebirth of the sun.
-
E.
Marg
Marg is a given name, typically a shortened form of Margaret, used primarily in English-speaking contexts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe310d8e08190b871bda79acde678 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1da3a99481909c9beae665bb5b83 |
completed | April 2, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:08 p.m.