Triple
T6871784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheopur |
E158564
|
entity |
| Predicate | distanceToKota |
P73845
|
FINISHED |
| Object | about 110 km |
—
|
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 110 km | Statement: [Sheopur, distanceToKota, about 110 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKota Context triple: [Sheopur, distanceToKota, about 110 km]
-
A.
distanceToJakarta_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and Jakarta.
-
B.
distanceFromKualaLumpur
Indicates the spatial distance between a given location or entity and Kuala Lumpur.
-
C.
distanceFromKochi_km
Indicates the physical distance, measured in kilometers, between a given location and Kochi.
-
D.
distanceToKabul
Indicates the measured spatial distance between a given location or entity and the city of Kabul.
-
E.
distanceToDaNang_km
Indicates the distance, measured in kilometers, between a given location and Da Nang.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8c73ea08190b6bb1463e7ead47b |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.