Triple
T6395618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-5 |
E143932
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Alcorcón Central |
E95939
|
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: Alcorcón Central | Statement: [C-5, hasStation, Alcorcón Central]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcorcón Central Context triple: [C-5, hasStation, Alcorcón Central]
-
A.
Alcorcón
chosen
Alcorcón is a suburban city in central Spain that forms part of the metropolitan area of Madrid.
-
B.
Collado Villalba
Collado Villalba is a commuter town and municipality in central Spain, located in the Sierra de Guadarrama northwest of Madrid.
-
C.
Las Rozas de Madrid
Las Rozas de Madrid is a suburban municipality northwest of central Madrid, known for its residential areas, business parks, and large outlet shopping centers.
-
D.
El Realejo
El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
-
E.
Fuencarral-El Pardo
Fuencarral-El Pardo is a large northern district of Madrid, Spain, known for combining residential neighborhoods with extensive natural areas such as Monte de El Pardo.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63897a5408190b6aada0e5c67fe27 |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.