Triple
T18342990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stavros (Ithaca) |
E439456
|
entity |
| Predicate | distanceToFrikes |
P131443
|
FINISHED |
| Object | short driving distance |
—
|
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: short driving distance | Statement: [Stavros (Ithaca), distanceToFrikes, short driving distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToFrikes Context triple: [Stavros (Ithaca), distanceToFrikes, short driving distance]
-
A.
distanceToFidra
Indicates the spatial distance between a given entity and the reference location Fidra.
-
B.
distanceFromFalls
Indicates the measured distance between a location or object and a specified waterfall or falls.
-
C.
distanceToSneek
Indicates the spatial distance between an entity and the location named Sneek.
-
D.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
E.
distancesFrom
Indicates the measured spatial separation between one entity and one or more other entities.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f188e081909cdbce61a21b9591 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:37 a.m.