Triple
T9509471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logroño |
E229353
|
entity |
| Predicate | hasStreet |
P959
|
FINISHED |
| Object |
Calle San Juan
Calle San Juan is a popular street in Logroño, Spain, known for its traditional tapas bars and vibrant local nightlife.
|
E808130
|
NE FINISHED |
How this triple was built (4 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 Juan | Statement: [Logroño, hasStreet, Calle San Juan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calle San Juan Context triple: [Logroño, hasStreet, Calle San Juan]
-
A.
Calle San José
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 del Carmen
Calle del Carmen is a busy pedestrian shopping street in central Madrid, known for its stores, cafés, and proximity to the Puerta del Sol.
-
C.
Calle del León
Calle del León is a historic street in central Madrid, Spain, known for its cultural institutions and literary heritage.
-
D.
Calle San Sebastián
Calle San Sebastián is a historic street in Old San Juan, Puerto Rico, best known as the vibrant center of the city’s famous San Sebastián Street Festival.
-
E.
Calle Teatinos
Calle Teatinos is a street situated in the historic center of Málaga, Spain, near the prominent Plaza de la Constitución.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Calle San Juan Triple: [Logroño, hasStreet, Calle San Juan]
Generated description
Calle San Juan is a popular street in Logroño, Spain, known for its traditional tapas bars and vibrant local nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calle San Juan Target entity description: Calle San Juan is a popular street in Logroño, Spain, known for its traditional tapas bars and vibrant local nightlife.
-
A.
Calle San José
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 del Carmen
Calle del Carmen is a busy pedestrian shopping street in central Madrid, known for its stores, cafés, and proximity to the Puerta del Sol.
-
C.
Calle del León
Calle del León is a historic street in central Madrid, Spain, known for its cultural institutions and literary heritage.
-
D.
Calle San Sebastián
Calle San Sebastián is a historic street in Old San Juan, Puerto Rico, best known as the vibrant center of the city’s famous San Sebastián Street Festival.
-
E.
Calle Teatinos
Calle Teatinos is a street situated in the historic center of Málaga, Spain, near the prominent Plaza de la Constitución.
- F. None of above. chosen
Provenance (5 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1612b217c819084db60ff84b683e5 |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d1627de65081909a26d7d372fd2503 |
completed | April 4, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d162d1013c81909882f1c086670f30 |
completed | April 4, 2026, 7:13 p.m. |
Created at: March 30, 2026, 7:58 p.m.