Triple
T3465780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackbuck National Park, Velavadar |
E73131
|
entity |
| Predicate | distanceFromBhavnagar |
P48952
|
FINISHED |
| Object | about 72 kilometres |
—
|
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: about 72 kilometres | Statement: [Blackbuck National Park, Velavadar, distanceFromBhavnagar, about 72 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBhavnagar Context triple: [Blackbuck National Park, Velavadar, distanceFromBhavnagar, about 72 kilometres]
-
A.
distanceToAhmedabad
Indicates the spatial distance between a given location or entity and the city of Ahmedabad.
-
B.
distanceToWardha
Indicates the spatial distance between a given entity and the location named Wardha.
-
C.
distanceToNagpur
Indicates the spatial distance between a given entity’s location and the city of Nagpur.
-
D.
distanceFromBengaluru
Indicates the measured spatial distance between a given entity’s location and the city of Bengaluru.
-
E.
distanceFromPortBlair
Indicates the measured distance between a given location and Port Blair.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb0f2d3881908a5fa871341564ed |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
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.