Triple
T14160170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Dallas |
E350914
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object | Loop 12 |
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 | Statement: [Southwest Dallas, hasTransportation, Loop 12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loop 12 Context triple: [Southwest Dallas, hasTransportation, Loop 12]
-
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.
Loop 1
Loop 1 is a major north–south freeway in Austin, Texas, commonly known as the Mopac Expressway.
-
C.
Loop 336
Loop 336 is a major circumferential roadway that serves as a key traffic artery around the city of Conroe, Texas.
-
D.
Loop 101
Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
-
E.
Loop 323
Loop 323 is a primary circumferential highway that serves as the main loop route around the city of Tyler, Texas.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f166988190a96d01fb4bd1438e |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.