Triple
T8871086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creston, Iowa |
E211155
|
entity |
| Predicate | distanceToDesMoines |
P64206
|
FINISHED |
| Object | about 75 miles southwest |
—
|
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 75 miles southwest | Statement: [Creston, Iowa, distanceToDesMoines, about 75 miles southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDesMoines Context triple: [Creston, Iowa, distanceToDesMoines, about 75 miles southwest]
-
A.
distanceFromDesMoines
chosen
Indicates the physical distance between a given location and the city of Des Moines.
-
B.
distanceToCouncilBluffs
Indicates the spatial distance between a given entity or location and the place named Council Bluffs.
-
C.
distanceToSaintPaul
Indicates the measured spatial distance between a given entity and the location of Saint Paul.
-
D.
distanceToMinneapolis
Indicates the measured distance between a given entity’s location and the city of Minneapolis.
-
E.
distanceToOmaha
Indicates the spatial distance between a given entity’s location and the location of Omaha.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6126d2f88190979ab25772ee657c |
completed | April 1, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:51 p.m.