Triple
T1106340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gangotri Glacier |
E25495
|
entity |
| Predicate | districtHeadquartersDistance |
P23192
|
FINISHED |
| Object | about 100 kilometres from Uttarkashi |
—
|
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: about 100 kilometres from Uttarkashi | Statement: [Gangotri Glacier, districtHeadquartersDistance, about 100 kilometres from Uttarkashi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtHeadquartersDistance Context triple: [Gangotri Glacier, districtHeadquartersDistance, about 100 kilometres from Uttarkashi]
-
A.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
B.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
C.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
D.
distanceFromWaggaWagga_km
Indicates the numerical distance, measured in kilometers, between an entity’s location and Wagga Wagga.
-
E.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e339f88190afc027216e95d2f7 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.