Triple

T23635325
Position Surface form Disambiguated ID Type / Status
Subject Puente Genil E583726 entity
Predicate railwayLine P848 FINISHED
Object Madrid–Málaga high‑speed rail line
The Madrid–Málaga high-speed rail line is a major Spanish AVE route that connects the capital Madrid with the southern city of Málaga, significantly reducing travel times across central and Andalusian regions.
E1625477 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: Madrid–Málaga high‑speed rail line | Statement: [Puente Genil, railwayLine, Madrid–Málaga high‑speed rail line]
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: Madrid–Málaga high‑speed rail line
Triple: [Puente Genil, railwayLine, Madrid–Málaga high‑speed rail line]
Generated description
The Madrid–Málaga high-speed rail line is a major Spanish AVE route that connects the capital Madrid with the southern city of Málaga, significantly reducing travel times across central and Andalusian regions.

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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1ec38f48190832d919391971ddb completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbce1b8308190826cb173c8b714ee completed May 22, 2026, 2:18 a.m.
NEDg Description generation batch_6a0fbe78822881909e04f037a60db091 completed May 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf0ed7808190b64797da02f8fbac completed May 22, 2026, 2:27 a.m.
Created at: April 17, 2026, 6:47 p.m.