Triple
T19061148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khikhani Fortress |
E466534
|
entity |
| Predicate | controlledMountainPasses |
P134936
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Khikhani Fortress, controlledMountainPasses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlledMountainPasses Context triple: [Khikhani Fortress, controlledMountainPasses, true]
-
A.
mountainType
Indicates the specific classification or category of a mountain based on its geological or physical characteristics.
-
B.
mountainFeature
Indicates that one entity is a notable physical or geographical feature associated with, located on, or forming part of a mountain.
-
C.
endPointMountain
Indicates that a path, route, or boundary terminates at a mountain.
-
D.
notablePeak
Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
-
E.
otherMajorPeak
Indicates that one peak is another significant or prominent peak associated with, but distinct from, a given primary peak.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e194c854819085a0a48d22c5cebd |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.