Triple
T3481527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palitana temples |
E73500
|
entity |
| Predicate | numberOfStepsToSummit |
P49027
|
FINISHED |
| Object | more than 3500 |
—
|
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: more than 3500 | Statement: [Palitana temples, numberOfStepsToSummit, more than 3500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStepsToSummit Context triple: [Palitana temples, numberOfStepsToSummit, more than 3500]
-
A.
reachesSummit
Indicates that an entity successfully arrives at or attains the highest point or summit of something.
-
B.
totalAscent
Indicates the total cumulative elevation gained over the course of a movement, route, or activity.
-
C.
nearestSummit
Indicates that one summit is the closest in distance to a given reference point or location compared to all other summits.
-
D.
durationTypicalAscent
Indicates the typical amount of time required to complete an ascent.
-
E.
positionRelativeToSummit
Indicates the spatial relationship of an entity’s location with respect to the summit of a feature or structure.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb75850c8190ad02cf2bde8be8a7 |
completed | March 8, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.