Triple
T27945763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDDI |
E700874
|
entity |
| Predicate | maxStationDistance |
P122161
|
FINISHED |
| Object | 2 km |
—
|
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: 2 km | Statement: [FDDI, maxStationDistance, 2 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxStationDistance Context triple: [FDDI, maxStationDistance, 2 km]
-
A.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
B.
distanceToNextStation
chosen
Indicates the measured or estimated distance from a given point or station to the next station along a route.
-
C.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
D.
distanceToNextStationSouth
Indicates the measured distance from a given point or station to the next station located to its south.
-
E.
distanceToRailhead
Indicates the measured distance between a location or object and the nearest railhead (rail transport access point).
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:21 p.m.