Triple
T20083065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seirah |
E500050
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Seirath |
—
|
NE NERFINISHED |
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: Seirath | Statement: [Seirah, hasNameVariant, Seirath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seirath Context triple: [Seirah, hasNameVariant, Seirath]
-
A.
Seirah
chosen
Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
-
B.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
C.
Shandar
Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
-
D.
Sehar
Sehar is a 2005 Indian crime drama film acclaimed for its realistic portrayal of the Uttar Pradesh police force and the criminal underworld.
-
E.
Syagha
Syagha is the summit of Mount Nebo, a historically and religiously significant peak traditionally associated with the biblical vantage point of Moses over the Promised Land.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655946f48190a6b4cb13ea4e212a |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.