Triple
T11970872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 130 |
E284915
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SH 130
SH 130 is a Texas toll highway known for its high speed limits and role as an alternative route to ease congestion on Interstate 35.
|
E956451
|
NE FINISHED |
How this triple was built (4 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: SH 130 | Statement: [Texas State Highway 130, abbreviation, SH 130]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SH 130 Context triple: [Texas State Highway 130, abbreviation, SH 130]
-
A.
SH 120
SH 120 is a short state highway in Colorado that connects U.S. Route 50 to the Fremont Correctional Facility area near Penrose.
-
B.
SH 10
SH 10 is a state highway in Colorado that runs east–west across the southern part of the state, connecting the cities of Walsenburg and La Junta.
-
C.
SH 190
SH 190 is a Texas state highway designation commonly associated with segments of the President George Bush Turnpike and related routes in the Dallas–Fort Worth area.
-
D.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
E.
SH 165
SH 165 is a scenic state highway in Colorado that winds through the Wet Mountains and provides access to attractions such as Bishop Castle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SH 130 Triple: [Texas State Highway 130, abbreviation, SH 130]
Generated description
SH 130 is a Texas toll highway known for its high speed limits and role as an alternative route to ease congestion on Interstate 35.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SH 130 Target entity description: SH 130 is a Texas toll highway known for its high speed limits and role as an alternative route to ease congestion on Interstate 35.
-
A.
SH 120
SH 120 is a short state highway in Colorado that connects U.S. Route 50 to the Fremont Correctional Facility area near Penrose.
-
B.
SH 10
SH 10 is a state highway in Colorado that runs east–west across the southern part of the state, connecting the cities of Walsenburg and La Junta.
-
C.
SH 190
SH 190 is a Texas state highway designation commonly associated with segments of the President George Bush Turnpike and related routes in the Dallas–Fort Worth area.
-
D.
SH-1
SH-1 is the first-generation implementation of the SuperH 32-bit RISC microprocessor architecture developed for embedded systems.
-
E.
SH 165
SH 165 is a scenic state highway in Colorado that winds through the Wet Mountains and provides access to attractions such as Bishop Castle.
- F. None of above. chosen
Provenance (5 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037d32e88190b1509285dc907d29 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459691ff0819099282172933d2d81 |
completed | May 1, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69f4645fcdcc81909ee9ae81cb884639 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465c3245c8190a748345e998f0568 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:46 p.m.