Triple
T14630134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis 36 |
E343458
|
entity |
| Predicate | locationMentioned |
P15985
|
FINISHED |
| Object | Seir |
E1109482
|
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: Seir | Statement: [Genesis 36, locationMentioned, Seir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seir Context triple: [Genesis 36, locationMentioned, Seir]
-
A.
Seir
chosen
Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
-
B.
Seirah
Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
-
C.
Seira
Seira is one of the islands in Indonesia’s remote Tanimbar archipelago in the Maluku province.
-
D.
Siro
Siro is a political thriller novel by David Ignatius that delves into espionage, intelligence operations, and geopolitical intrigue.
-
E.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf078c1248190889ce04cffbf51dc |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:26 a.m.