Triple
T8768445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daburiyya |
E208394
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Tabor |
E40563
|
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 Tabor | Statement: [Daburiyya, near, Mount Tabor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tabor Context triple: [Daburiyya, near, Mount Tabor]
-
A.
Mount Tabor
chosen
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.
-
B.
Mount Carmel
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.
-
C.
Mount Carmel
Mount Carmel is a residential neighborhood in Hamden, Connecticut, known for its proximity to Sleeping Giant State Park and Quinnipiac University.
-
D.
Mount Nebo
Mount Nebo is a prominent mountain peak in central Utah known for its rugged terrain, scenic hiking trails, and status as the tallest summit in its surrounding range.
-
E.
Mount Nebo
Mount Nebo is a mountain in present-day Jordan traditionally revered as the place where Moses viewed the Promised Land before he died.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eec49708190ba760d81a7974c50 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab596ef88190b538d15b0d71e176 |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:41 p.m.