Triple
T15881874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ysleta |
E385091
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of El Paso |
E16599
|
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: City of El Paso | Statement: [Ysleta, partOf, City of El Paso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of El Paso Context triple: [Ysleta, partOf, City of El Paso]
-
A.
City of Laredo
The City of Laredo is a major border municipality in southern Texas that serves as a key hub for international trade and travel between the United States and Mexico.
-
B.
El Paso
chosen
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.
-
C.
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.
-
D.
The Concho City
The Concho City is a nickname for San Angelo, Texas, reflecting its historic ties to the Concho River and regional ranching and agricultural heritage.
-
E.
Laredo
Laredo is a coastal town in northern Spain’s Cantabria region, known for its long sandy beaches and historic old quarter.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156173e248190901641d838ecb40f |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95466e08190a967114821651e60 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.