Triple
T19076490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ephraim |
E466916
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Bethel |
—
|
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: Bethel | Statement: [Mount Ephraim, containsCity, Bethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel Context triple: [Mount Ephraim, containsCity, 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
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
D.
Bethel
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
-
E.
Bethel
Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.