Triple
T2224078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah At-Tur |
E48607
|
entity |
| Predicate | containsOathBy |
P31562
|
FINISHED |
| Object | MountTur |
E236785
|
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: MountTur | Statement: [Surah At-Tur, containsOathBy, MountTur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MountTur Context triple: [Surah At-Tur, containsOathBy, MountTur]
-
A.
Mount Fee
Mount Fee is a prominent volcanic peak in British Columbia’s Coast Mountains, known for its rugged, glaciated summit and striking profile visible from the Sea-to-Sky corridor.
-
B.
Mount Tur
chosen
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
-
C.
Thunder Mountain
Thunder Mountain is a prominent peak in California’s Sierra Nevada, known for its rugged alpine terrain and scenic views within Sequoia National Park.
-
D.
Mount Nivea
Mount Nivea is a prominent mountain peak that forms the highest point in the remote South Orkney Islands of the Southern Ocean.
-
E.
Summit
"Summit" is a track from the album *China* by electronic music composer Vangelis, known for its atmospheric, synthesizer-driven soundscapes.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ec3788190b5ae32201364f7ab |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6afe4d1481908c6c27e889303892 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:47 p.m.