Triple

T35968625
Position Surface form Disambiguated ID Type / Status
Subject São Pedro do Estoril railway station E1040214 entity
Predicate locatedOnLine P2409 FINISHED
Object Lisbon–Cascais railway
The Lisbon–Cascais railway is a coastal suburban rail line in the Lisbon metropolitan area of Portugal, connecting the capital city with the seaside town of Cascais along the northern shore of the Tagus River estuary.
E2163149 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: Lisbon–Cascais railway | Statement: [São Pedro do Estoril railway station, locatedOnLine, Lisbon–Cascais railway]
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: Lisbon–Cascais railway
Triple: [São Pedro do Estoril railway station, locatedOnLine, Lisbon–Cascais railway]
Generated description
The Lisbon–Cascais railway is a coastal suburban rail line in the Lisbon metropolitan area of Portugal, connecting the capital city with the seaside town of Cascais along the northern shore of the Tagus River estuary.

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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfe85f08190b597c0ed6fd6fead completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b70e46f08190a95a61bf009340fe completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b8b2330481909ea8346246fb8b33 completed June 22, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a38b91577e08190bfbba137f102a8a6 completed June 22, 2026, 4:24 a.m.
Created at: May 3, 2026, 4:07 p.m.