Triple
T25424785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haystack Mountain (Adirondacks) |
E637088
|
entity |
| Predicate | summitExposure |
P158286
|
FINISHED |
| Object | largely above treeline |
—
|
LITERAL 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: largely above treeline | Statement: [Haystack Mountain (Adirondacks), summitExposure, largely above treeline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitExposure Context triple: [Haystack Mountain (Adirondacks), summitExposure, largely above treeline]
-
A.
summitView
Indicates a vantage point or perspective that is obtained from the top or highest point of something, such as a mountain or structure.
-
B.
summitDifficulty
Indicates the level of challenge or effort required to reach the summit of something (typically a mountain or peak).
-
C.
summitCount
Indicates the number of summits or peak ascents associated with an entity.
-
D.
summitResembles
Indicates that one summit is similar in appearance or characteristics to another summit.
-
E.
summitOftenCloudCovered
Indicates that the summit of something is frequently or typically covered by clouds.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bf25c881909f049d5393927bfb |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:57 p.m.