Triple
T15304760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 84 in Sturbridge, Massachusetts |
E365870
|
entity |
| Predicate | isShortestStateSegmentOf |
P118039
|
FINISHED |
| Object | Interstate 84 |
—
|
NE NERFINISHED |
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: Interstate 84 | Statement: [Interstate 84 in Sturbridge, Massachusetts, isShortestStateSegmentOf, Interstate 84]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortestStateSegmentOf Context triple: [Interstate 84 in Sturbridge, Massachusetts, isShortestStateSegmentOf, Interstate 84]
-
A.
isShortestLineInSystem
Indicates that a given line is the one with the minimum length among all lines in the system.
-
B.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
-
C.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
D.
isSmallestRegionOf
Indicates that a region is the smallest subregion that still fully corresponds to or represents a given larger entity or area.
-
E.
isContiguousState
Indicates that a state shares a continuous land border with the main body of the country, without being separated by foreign territory or significant bodies of water.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.