Triple
T11851406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dausa |
E281916
|
entity |
| Predicate | distanceFromJaipur_km |
P29700
|
FINISHED |
| Object | about 55 |
—
|
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 55 | Statement: [Dausa, distanceFromJaipur_km, about 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromJaipur_km Context triple: [Dausa, distanceFromJaipur_km, about 55]
-
A.
distanceFromJaipur
chosen
Indicates the spatial distance between a given entity and the location Jaipur.
-
B.
distanceFromJabalpur
Indicates the spatial distance measured from the reference location Jabalpur to another place or entity.
-
C.
distanceFromChandigarh_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Chandigarh.
-
D.
distanceFromJaisalmer
Indicates the measured spatial distance between a given entity and the location of Jaisalmer.
-
E.
distanceToDelhiByRoad_km
Indicates the road travel distance, measured in kilometers, from a given place to Delhi.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65db52c8190a218736da17d0153 |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.