Triple
T15614955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madrid–Andalusia railway |
E375387
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | La Mancha |
E227375
|
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: La Mancha | Statement: [Madrid–Andalusia railway, passesThrough, La Mancha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Mancha Context triple: [Madrid–Andalusia railway, passesThrough, La Mancha]
-
A.
La Mancha
chosen
La Mancha is a historic, arid region in central Spain best known as the home of Cervantes’ fictional knight-errant Don Quixote.
-
B.
El gallardo español
El gallardo español is a play by Miguel de Cervantes, notable as one of his lesser-known dramatic works included among his unperformed comedies and interludes.
-
C.
El caballero de Olmedo
El caballero de Olmedo is a celebrated Spanish Golden Age tragicomedy by Lope de Vega that dramatizes love, honor, and fatal destiny in rural Castile.
-
D.
Manuel del Campo
Manuel del Campo was a Mexican-born film editor and writer best known for his work in Hollywood and for being the second husband of actress Mary Astor.
-
E.
El Burgo de Osma
El Burgo de Osma is a historic town in the province of Soria, Spain, known for its well-preserved medieval architecture and prominent role as a religious and cultural center.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e83407c8190abbcd4b7fab0ff85 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56dd1e4c819090bf3cd4425b39b7 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.