Triple
T20247669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester and Western Railroad |
E498464
|
entity |
| Predicate | approximateRouteLengthInMiles |
P26813
|
FINISHED |
| Object | 100 |
—
|
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: 100 | Statement: [Winchester and Western Railroad, approximateRouteLengthInMiles, 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateRouteLengthInMiles Context triple: [Winchester and Western Railroad, approximateRouteLengthInMiles, 100]
-
A.
approximateLengthInMiles
chosen
Indicates the estimated distance or extent of something measured in miles.
-
B.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
-
C.
approximateCircuitLengthMi
Indicates the approximate total length of a circuit, measured in miles.
-
D.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
E.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a3c61481909413e042d76cc580 |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:40 p.m.