Triple
T12427296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Bens |
E296930
|
entity |
| Predicate | hasApproximateNumberOfMajorPeaks |
P101726
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Twelve Bens, hasApproximateNumberOfMajorPeaks, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfMajorPeaks Context triple: [Twelve Bens, hasApproximateNumberOfMajorPeaks, 12]
-
A.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
B.
isMajorPeakOf
Indicates that one peak is a primary or most prominent summit within a specified mountain, range, or geographic area.
-
C.
hasPeakCount
chosen
Indicates the number of distinct peaks associated with an entity.
-
D.
hasMajorPlateau
Indicates that an entity possesses or includes a primary, extensive plateau as a significant geographic or structural feature.
-
E.
hasSecondaryPeak
Indicates that an entity exhibits an additional, smaller peak or maximum beyond its primary peak in its profile or behavior.
- F. None of above.
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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.