Triple
T10345518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Trade International Bridge |
E243733
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Laredo |
E121196
|
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: Laredo | Statement: [World Trade International Bridge, nearbyCity, Laredo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laredo Context triple: [World Trade International Bridge, nearbyCity, Laredo]
-
A.
Laredo
Laredo is a base-level trim of the Jeep Grand Cherokee SUV, offering essential features at a more affordable price point.
-
B.
Laredo
Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
-
C.
Laredo, Texas
chosen
Laredo, Texas is a major city on the U.S.–Mexico border and a key international trade hub located along the Rio Grande in southern Texas.
-
D.
El Paso
El Paso is a municipality on the Spanish island of La Palma in the Canary Islands, known for its volcanic landscapes and proximity to the Cumbre Vieja ridge.
-
E.
El Paso
El Paso is a large border city in far western Texas known for its strong cultural ties with Mexico and its role as a major economic and transportation hub in the region.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e923e3d08190971073ce41ff860f |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d76fd88819086c61c40216a8932 |
completed | April 10, 2026, 2:47 p.m. |
Created at: April 6, 2026, 11:56 a.m.