Triple
T3001348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahwism |
E81793
|
entity |
| Predicate | cultCenter |
P9995
|
FINISHED |
| Object | Bethel |
E233623
|
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: Bethel | Statement: [Yahwism, cultCenter, Bethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel Context triple: [Yahwism, cultCenter, Bethel]
-
A.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
B.
Bethel
chosen
Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
-
C.
Bethel, Connecticut
Bethel, Connecticut is a suburban New England town in Fairfield County known for its historic downtown and role as a residential community near Danbury.
-
D.
Farmington
Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
-
E.
Belhaven
Belhaven is a small community located within the town of Georgina in Ontario, Canada.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a11b4bc81909ce06121361b4e0f |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e4b54188190bf900bf10061a57a |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.