Triple
T17088403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Dodge, Iowa |
E414659
|
entity |
| Predicate | distanceToDesMoinesApproxKm |
P64206
|
FINISHED |
| Object | 120 |
—
|
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: 120 | Statement: [Fort Dodge, Iowa, distanceToDesMoinesApproxKm, 120]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDesMoinesApproxKm Context triple: [Fort Dodge, Iowa, distanceToDesMoinesApproxKm, 120]
-
A.
distanceFromDesMoines
chosen
Indicates the physical distance between a given location and the city of Des Moines.
-
B.
distanceToSaintPaul
Indicates the measured spatial distance between a given entity and the location of Saint Paul.
-
C.
distanceToCouncilBluffs
Indicates the spatial distance between a given entity or location and the place named Council Bluffs.
-
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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe92e488190b947287a968086d5 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.