Triple
T8803039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prem Mandir |
E209455
|
entity |
| Predicate | hasOuterParikramaPath |
P75964
|
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: [Prem Mandir, hasOuterParikramaPath, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOuterParikramaPath Context triple: [Prem Mandir, hasOuterParikramaPath, yes]
-
A.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
B.
hasOuterRingComponent
Indicates that an entity includes another entity as a component specifically located in its outer ring.
-
C.
hasWalkingPathAround
chosen
Indicates that one entity has a walking path that encircles or runs around another entity.
-
D.
hasLongDistancePathAccess
Indicates that an entity has the ability or right to use a path or route that spans a long distance.
-
E.
hasPilgrimagePeak
Indicates that a place or route is associated with a specific peak that serves as a destination or focal point for religious or spiritual pilgrimage.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:44 p.m.