Triple
T15294172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menetes |
E365608
|
entity |
| Predicate | distanceFromPigadia |
P117992
|
FINISHED |
| Object | about 8 kilometers |
—
|
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 8 kilometers | Statement: [Menetes, distanceFromPigadia, about 8 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromPigadia Context triple: [Menetes, distanceFromPigadia, about 8 kilometers]
-
A.
distanceToPula
Indicates the measured or calculated spatial distance between a given entity and the location Pula.
-
B.
distanceToPahiatua
Indicates the measured spatial distance between a given location and the place referred to as Pahiatua.
-
C.
distanceFromGori
Indicates the spatial distance between a given entity or location and the place named Gori.
-
D.
distanceToFidra
Indicates the spatial distance between a given entity and the reference location Fidra.
-
E.
distanceFromPavia
Indicates the spatial distance between a given entity or location and the city of Pavia.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03682ea488190ac82fdbd0e855d34 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:15 a.m.