Triple
T10522392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Watchung Mountain |
E248206
|
entity |
| Predicate | numberOfParallelRidgesInRange |
P94369
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Third Watchung Mountain, numberOfParallelRidgesInRange, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfParallelRidgesInRange Context triple: [Third Watchung Mountain, numberOfParallelRidgesInRange, 3]
-
A.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
B.
isRidge
Indicates that something has the form or function of a ridge, typically being a long, narrow raised or elevated feature relative to its surroundings.
-
C.
hasRidges
Indicates that one entity possesses raised, linear or patterned ridges on its surface or structure in relation to another entity or context.
-
D.
hasApproximateNumberOfHills
Indicates that an entity is associated with an estimated or imprecise count of hills rather than an exact number.
-
E.
numberOfHumps
Indicates the quantity of humps possessed by an entity.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e0907481908807dd99980cba1f |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:29 p.m.