Triple
T20303523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maihar Devi Temple |
E505545
|
entity |
| Predicate | hasRopewayService |
P8378
|
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: [Maihar Devi Temple, hasRopewayService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRopewayService Context triple: [Maihar Devi Temple, hasRopewayService, yes]
-
A.
hasCableCar
chosen
Indicates that one entity possesses, operates, or is served by a cable car system connecting it to other locations or points.
-
B.
hasFunicular
Indicates that one place or facility is equipped with or served by a funicular railway connection to another location.
-
C.
hasRideSystem
Indicates that one entity (typically an attraction or ride) uses or is associated with a particular ride system or ride mechanism.
-
D.
hasSkiLifts
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
E.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69e55b21b09081909e46691b6f45a07f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 11:17 a.m.