Triple
T27095124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lajatico |
E686273
|
entity |
| Predicate | distanceToVolterra |
P198751
|
FINISHED |
| Object | about 25 kilometres |
—
|
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 25 kilometres | Statement: [Lajatico, distanceToVolterra, about 25 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToVolterra Context triple: [Lajatico, distanceToVolterra, about 25 kilometres]
-
A.
distanceFromVesuvius
Indicates the spatial distance between an entity and Mount Vesuvius.
-
B.
distanceFromHypocenter
Indicates the measured distance between a specified location and the hypocenter (origin point) of an event such as an earthquake.
-
C.
distanceToTerminal
Indicates the measured or calculated distance from a given entity or location to a specified terminal point or facility.
-
D.
distanceToHeilbronn
Indicates the spatial distance between a given entity or location and the city of Heilbronn.
-
E.
distanceFromVladimir
Indicates the spatial distance between an entity and Vladimir.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ff0491409c8190be40f633a58da0b1 |
completed | May 9, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69ff040bb5cc81909534c7eee85d5e90 |
completed | May 9, 2026, 9:53 a.m. |
| PDg | Predicate description generation | batch_69ff04901ab081908b68563836fcdc99 |
completed | May 9, 2026, 9:55 a.m. |
Created at: April 27, 2026, 8:43 a.m.