Triple
T7179194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Mountains |
E167400
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Black Hill |
E161773
|
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: Black Hill | Statement: [Black Mountains, contains, Black Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Hill Context triple: [Black Mountains, contains, Black Hill]
-
A.
Black Hill
chosen
Black Hill is a prominent moorland summit in the Peak District of England, known for its exposed peat bogs and expansive upland views.
-
B.
Savage Mountain
Savage Mountain is the ominous nickname for K2, the world’s second-highest peak, renowned for its extreme difficulty and high fatality rate among climbers.
-
C.
Glass Mountain
Glass Mountain is a prominent obsidian lava dome complex on the eastern flank of Medicine Lake Volcano in northern California, known for its extensive glassy rhyolitic flows.
-
D.
Gray Mountain
Gray Mountain is a legal thriller novel by John Grisham that follows a young lawyer uncovering corruption and environmental crimes in a small Appalachian coal town.
-
E.
The Mount
The Mount is a prominent historic building and public landmark in Fleetwood, Lancashire, known for its elevated gardens and panoramic views over the seafront.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be10c5b081908210981ce9c45bd9 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 2:49 p.m.