Triple
T28334190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basin Mountain |
E717619
|
entity |
| Predicate | nearestMajorNeighbor |
P170993
|
FINISHED |
| Object | Saddleback Mountain (Adirondacks) |
—
|
NE NERFINISHED |
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: Saddleback Mountain (Adirondacks) | Statement: [Basin Mountain, nearestMajorNeighbor, Saddleback Mountain (Adirondacks)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorNeighbor Context triple: [Basin Mountain, nearestMajorNeighbor, Saddleback Mountain (Adirondacks)]
-
A.
nearestMajorCenter
Indicates that one location is the closest significant urban or population center relative to another location.
-
B.
nearestMajorBase
Indicates that one location is the closest significant (major) base relative to another location.
-
C.
nearestMajorArea
Indicates the relationship where a given location is associated with the closest significant geographic or administrative area.
-
D.
nearestMajorPort
Indicates the closest significant seaport to a given location or entity, typically based on geographic distance.
-
E.
nearestArea
Indicates that one area is the closest in distance to a given reference point or region compared to all other candidate areas.
- F. None of above. chosen
Provenance (4 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 28, 2026, 12:34 a.m.