Triple
T16558167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biblical places |
E402262
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | Mount Carmel |
E69227
|
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: Mount Carmel | Statement: [Biblical places, hasExample, Mount Carmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Carmel Context triple: [Biblical places, hasExample, Mount Carmel]
-
A.
Mount Carmel
chosen
Mount Carmel is a coastal mountain range in northern Israel known for its religious significance, scenic landscapes, and the city of Haifa built on its slopes.
-
B.
Mount Carmel
Mount Carmel is a residential neighborhood in Hamden, Connecticut, known for its proximity to Sleeping Giant State Park and Quinnipiac University.
-
C.
Mount Tabor
Mount Tabor is a prominent hill in northern Israel venerated in Christian tradition as the site of Jesus’ Transfiguration and a longstanding place of pilgrimage.
-
D.
Mount Meron
Mount Meron is a prominent mountain in northern Israel known for its religious significance, nature reserves, and status as one of the country's highest peaks.
-
E.
Mount Zion
Mount Zion is a San Francisco medical campus and hospital complex associated with the University of California, San Francisco, known for providing specialized clinical care and research.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067bcb698819092ede6ba4f8a4a2b |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.