Triple
T13563534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 5 |
E323972
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SH 5
SH 5 is a Texas state highway that runs through the Dallas–Fort Worth area, generally paralleling U.S. Highway 75 and serving local traffic in Collin County.
|
E1046878
|
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 5 | Statement: [Texas State Highway 5, abbreviation, SH 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SH 5 Context triple: [Texas State Highway 5, abbreviation, SH 5]
-
A.
SH-5
SH-5 is a 64-bit member of the SuperH family of RISC microprocessor cores designed for embedded and high-performance applications.
-
B.
SH 6
SH 6 is a major Texas state highway that runs diagonally across the state, connecting numerous cities and serving as an important regional transportation corridor.
-
C.
SH 45
SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
-
D.
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.
-
E.
SH 11
SH 11 is a Texas state highway that runs across the northeastern part of the state, connecting several rural communities and regional routes.
- 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 5 Triple: [Texas State Highway 5, abbreviation, SH 5]
Generated description
SH 5 is a Texas state highway that runs through the Dallas–Fort Worth area, generally paralleling U.S. Highway 75 and serving local traffic in Collin County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SH 5 Target entity description: SH 5 is a Texas state highway that runs through the Dallas–Fort Worth area, generally paralleling U.S. Highway 75 and serving local traffic in Collin County.
-
A.
SH-5
SH-5 is a 64-bit member of the SuperH family of RISC microprocessor cores designed for embedded and high-performance applications.
-
B.
SH 6
SH 6 is a major Texas state highway that runs diagonally across the state, connecting numerous cities and serving as an important regional transportation corridor.
-
C.
SH 45
SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
-
D.
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.
-
E.
SH 11
SH 11 is a Texas state highway that runs across the northeastern part of the state, connecting several rural communities and regional routes.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75dad601481908de5f266f01f3f49 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75f563cfc81909cde4c403ac10a58 |
completed | May 3, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75fcbf9548190abd74bf4f4ae2e11 |
completed | May 3, 2026, 2:46 p.m. |
Created at: April 9, 2026, 9:47 p.m.