Triple
T16558166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biblical places |
E402262
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | Mount Zion |
E775671
|
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 Zion | Statement: [Biblical places, hasExample, Mount Zion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Zion Context triple: [Biblical places, hasExample, Mount Zion]
-
A.
Mount Zion
chosen
Mount Zion is a historic hill in Jerusalem that holds deep religious significance in Judaism, Christianity, and Islam as a symbol of God's presence and the spiritual center of Jerusalem.
-
B.
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.
-
C.
Mount Zion
Mount Zion is a prominent foothill of the Rocky Mountains near Golden, Colorado, known for its scenic views, hiking trails, and the iconic Colorado School of Mines "M" on its slope.
-
D.
Mount Moriah
Mount Moriah is a prominent peak in New Hampshire’s White Mountains, known for its scenic hiking trails and expansive views within the Carter-Moriah Range.
-
E.
Mount Moriah
Mount Moriah is a film and television production company known for developing and producing independent screen projects.
- 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_6a0075925b18819084c6d476eceea5f5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.