Triple
T14024972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INS Vikramaditya |
E337432
|
entity |
| Predicate | hasSkiJump |
P16743
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [INS Vikramaditya, hasSkiJump, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiJump Context triple: [INS Vikramaditya, hasSkiJump, yes]
-
A.
hasSkiFlyingHill
Indicates that an entity possesses or includes a ski flying hill as one of its features or facilities.
-
B.
skiJumpingVenue
chosen
Indicates that one entity serves as the ski jumping venue or facility associated with another entity (such as an event, competition, or organization).
-
C.
hasCliffJumping
Indicates that an entity offers, features, or is associated with the activity of cliff jumping.
-
D.
hasSkiRaceCourse
Indicates that an entity includes, contains, or is associated with a designated ski race course.
-
E.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.