Triple
T4240770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assembly of Madrid |
E95406
|
entity |
| Predicate | meetsIn |
P40
|
FINISHED |
| Object |
Vallecas
Vallecas is a district in the southeast of Madrid, Spain, known for its working-class roots, strong local identity, and vibrant community life.
|
E424588
|
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: Vallecas | Statement: [Assembly of Madrid, meetsIn, Vallecas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vallecas Context triple: [Assembly of Madrid, meetsIn, Vallecas]
-
A.
Leganés
Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
-
B.
Alcorcón
Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
-
C.
Boadilla del Monte
Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
-
D.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
E.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
- 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: Vallecas Triple: [Assembly of Madrid, meetsIn, Vallecas]
Generated description
Vallecas is a district in the southeast of Madrid, Spain, known for its working-class roots, strong local identity, and vibrant community life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vallecas Target entity description: Vallecas is a district in the southeast of Madrid, Spain, known for its working-class roots, strong local identity, and vibrant community life.
-
A.
Leganés
Leganés is a major suburban city in central Spain, located just southwest of Madrid and known for its residential character, industry, and football club CD Leganés.
-
B.
Alcorcón
Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
-
C.
Boadilla del Monte
Boadilla del Monte is a suburban municipality in the Community of Madrid, Spain, known for its residential areas, green spaces, and proximity to the Spanish capital.
-
D.
Fuenlabrada
Fuenlabrada is a large suburban city in central Spain, located southwest of Madrid and known for its rapid growth, industrial activity, and sizable commuter population.
-
E.
Móstoles
Móstoles is a major suburban city in central Spain, known as one of the most populous municipalities in the Madrid metropolitan area.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e87c9d88190a093b1289df5b974 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a86fe7708190a64ba187fb302c9a |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a94e637881909a20bb1df0cd5768 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9d9b28081909d7dc97b02209318 |
completed | March 14, 2026, 6:32 p.m. |
Created at: March 12, 2026, 11:05 p.m.