Triple
T11538802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passu village |
E273616
|
entity |
| Predicate | distanceToHunza |
P99587
|
FINISHED |
| Object | approximately 45 km from Karimabad (by road) |
—
|
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: approximately 45 km from Karimabad (by road) | Statement: [Passu village, distanceToHunza, approximately 45 km from Karimabad (by road)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHunza Context triple: [Passu village, distanceToHunza, approximately 45 km from Karimabad (by road)]
-
A.
distanceFrom Peshawar
Indicates the spatial distance between a given location or entity and the city of Peshawar.
-
B.
distanceToKabul
Indicates the measured spatial distance between a given location or entity and the city of Kabul.
-
C.
distanceToLahore_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Lahore.
-
D.
distanceToAlps
Indicates the spatial distance between a given location or entity and the Alps.
-
E.
distanceToŚnieżka
Indicates the measured or calculated spatial distance from a given entity or location to Śnieżka.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.