Triple
T15304761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 84 in Sturbridge, Massachusetts |
E365870
|
entity |
| Predicate | approximateLengthInMassachusetts |
P26813
|
FINISHED |
| Object | about 8 miles |
—
|
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 8 miles | Statement: [Interstate 84 in Sturbridge, Massachusetts, approximateLengthInMassachusetts, about 8 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateLengthInMassachusetts Context triple: [Interstate 84 in Sturbridge, Massachusetts, approximateLengthInMassachusetts, about 8 miles]
-
A.
approximateMass
Indicates that one entity has a mass value that is an estimate or close approximation of the mass of another entity.
-
B.
approximateLengthInMiles
chosen
Indicates the estimated distance or extent of something measured in miles.
-
C.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
-
D.
distanceFromProvincetownCenterMiles
Indicates the number of miles between an entity’s location and the center of Provincetown.
-
E.
obtainsMassVia
Indicates that an entity acquires its mass through a specified process, mechanism, or interaction.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.