Triple
T6512114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Highway 183 (Texas) |
E150160
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Loop 12 (Texas) |
E427581
|
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: Loop 12 (Texas) | Statement: [State Highway 183 (Texas), connectsTo, Loop 12 (Texas)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loop 12 (Texas) Context triple: [State Highway 183 (Texas), connectsTo, Loop 12 (Texas)]
-
A.
Loop 12
chosen
Loop 12 is a major circumferential highway in Dallas, Texas, that serves as an important connector between various neighborhoods, freeways, and arterial roads within the city.
-
B.
10 Loop
10 Loop is a highway loop around Athens, Georgia, that forms part of Georgia State Route 10 and serves as a major local bypass.
-
C.
Loop 323 (Tyler)
Loop 323 (Tyler) is a major circumferential highway encircling the city of Tyler, Texas, serving as a primary route for local and through traffic.
-
D.
Leo, Texas
Leo, Texas is a small rural unincorporated community located in Cooke County in north-central Texas.
-
E.
Lorena, Texas
Lorena, Texas is a small city in Central Texas that functions as a suburban community within the Waco metropolitan area.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb6421748190b8f2b77c77b153bc |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:44 p.m.