Triple
T21266690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ani (ruins) |
E524144
|
entity |
| Predicate | distanceToKars |
P143431
|
FINISHED |
| Object | about 42 kilometres southeast |
—
|
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 42 kilometres southeast | Statement: [Ani (ruins), distanceToKars, about 42 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKars Context triple: [Ani (ruins), distanceToKars, about 42 kilometres southeast]
-
A.
distanceFromKatra
Indicates the spatial distance measured from the reference location Katra to another entity or place.
-
B.
distanceToKotor
Indicates the measured distance between a given entity’s location and the location of Kotor.
-
C.
distanceToKarlsruhe
Indicates the spatial distance between a given entity and the location of Karlsruhe.
-
D.
distanceToWare
Indicates the measured distance between an entity and a specified ware or item.
-
E.
tourDistanceApproxKm
Indicates an approximate total distance, measured in kilometers, covered during a tour or journey.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735eca49081908e4f13fcab717c41 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4 p.m.