Triple
T12049913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas State Highway 45 |
E286888
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SH 45 |
E446957
|
NE 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: SH 45 | Statement: [Texas State Highway 45, abbreviation, SH 45]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SH 45 Context triple: [Texas State Highway 45, abbreviation, SH 45]
-
A.
SH 45
chosen
SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
-
B.
SH 114
SH 114 is a major Texas state highway running through the Dallas–Fort Worth area and connecting several key cities in North Texas.
-
C.
SH 183
SH 183 is a major Texas state highway serving the Dallas–Fort Worth metropolitan area, providing an important east–west transportation corridor.
-
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 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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904227958819084dbd5eb2566c735 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dd140a48190844f64c228e6367a |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.