Triple
T17376221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle San José |
E422444
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Calle San José (es) |
—
|
NE NERFINISHED |
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: Calle San José (es) | Statement: [Calle San José, hasNameInLanguage, Calle San José (es)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calle San José (es) Context triple: [Calle San José, hasNameInLanguage, Calle San José (es)]
-
A.
Calle San José
chosen
Calle San José is a historic street in Old San Juan, Puerto Rico, known for its colonial architecture, cultural landmarks, and vibrant local commerce.
-
B.
Calle de Sal (Madrid)
Calle de Sal is a historic street in central Madrid’s old town, located near Plaza Mayor and lined with traditional shops and eateries.
-
C.
Calle de Gerona (Madrid)
Calle de Gerona is a historic street in central Madrid’s old town, located near the Plaza Mayor and lined with traditional shops, bars, and restaurants.
-
D.
Calle San Juan
Calle San Juan is a popular street in Logroño, Spain, known for its traditional tapas bars and vibrant local nightlife.
-
E.
Calle de Zaragoza (Madrid)
Calle de Zaragoza is a historic street in central Madrid’s old town, connecting directly to the area of the city’s main square and traditional commercial heart.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a6ddbd081908908b953597977d2 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.