Triple
T4585129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sialkot |
E101948
|
entity |
| Predicate | distanceToLahore |
P46963
|
FINISHED |
| Object | approximately 125 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: approximately 125 km | Statement: [Sialkot, distanceToLahore, approximately 125 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLahore Context triple: [Sialkot, distanceToLahore, approximately 125 km]
-
A.
distanceToLahore_km
chosen
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Lahore.
-
B.
distanceFromIslamabad
Indicates the spatial distance between a given location and the city of Islamabad.
-
C.
distanceFromKarachi
Indicates the measured spatial distance between a given entity’s location and the city of Karachi.
-
D.
distanceFrom Peshawar
Indicates the spatial distance between a given location or entity and the city of Peshawar.
-
E.
directionFromLahore
Indicates the cardinal or relative direction in which one entity is located from Lahore.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.