Triple
T15161107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatrunjaya temple complex |
E362217
|
entity |
| Predicate | locatedOnTypeOfLandform |
P56549
|
FINISHED |
| Object | hill |
—
|
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: hill | Statement: [Shatrunjaya temple complex, locatedOnTypeOfLandform, hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnTypeOfLandform Context triple: [Shatrunjaya temple complex, locatedOnTypeOfLandform, hill]
-
A.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
B.
locatedOnTerrain
chosen
Indicates that one entity is physically situated on or atop a particular terrain surface.
-
C.
locatedInGeographicFeature
Indicates that something is situated within or on a specific natural geographic feature (such as a mountain, river, valley, or lake).
-
D.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
E.
landsAt
Indicates that a moving entity arrives and comes to rest at a specific location or destination.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.