Triple
T36939126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 99 |
E913701
|
entity |
| Predicate | isFreeRoadForSomeSegments |
P72697
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Texas State Highway 99, isFreeRoadForSomeSegments, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFreeRoadForSomeSegments Context triple: [Texas State Highway 99, isFreeRoadForSomeSegments, true]
-
A.
hasFreeRoads
chosen
Indicates that an entity provides or is associated with roads that can be used without paying tolls or fees.
-
B.
hasFreeLanes
Indicates that a route, road, or pathway currently has lanes available that are not occupied or congested.
-
C.
hasFreewaySegments
Indicates that one entity includes, contains, or is associated with specific freeway segments as part of its structure or network.
-
D.
isCarFreeAtTimes
Indicates that an entity is free of cars or motor vehicles during certain specified times or periods.
-
E.
hasAccessRoadsTo
Indicates that there exist one or more roads providing direct vehicular access from one location or site to another.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe174a508190a717d6e962a90fb7 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.