Triple

T29619631
Position Surface form Disambiguated ID Type / Status
Subject Paris–Toulouse railway E754958 entity
Predicate servesIntermediateCities P180286 FINISHED
Object numerous intermediate cities and towns LITERAL 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: numerous intermediate cities and towns | Statement: [Paris–Toulouse railway, servesIntermediateCities, numerous intermediate cities and towns]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesIntermediateCities
Context triple: [Paris–Toulouse railway, servesIntermediateCities, numerous intermediate cities and towns]
  • A. majorIntermediateCityServed
    Indicates that a major intermediate city lies along a route or corridor and is served by the associated service or infrastructure.
  • B. otherCitiesServed chosen
    Indicates that an entity (such as a service, route, or provider) also serves or operates in additional cities beyond its primary or specified city.
  • C. servesCityIndirectly
    Indicates that an entity provides services or benefits to a city in an indirect or intermediary manner, rather than through direct interaction.
  • D. primaryCitiesServed
    Indicates the main cities that are directly served or covered by a given entity’s services or operations.
  • E. hasIntermediateCity
    Indicates that there is a city located between two other places along a route or connection.
  • F. None of above.

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_69f0ef86b6ec8190a87fff07fd983b1e completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fe12a899d4819080d48423f32eace9 completed May 8, 2026, 4:43 p.m.
PD Predicate disambiguation batch_69fe0d7f6aa08190a1d2dfc025d4e0dc completed May 8, 2026, 4:21 p.m.
Created at: April 28, 2026, 6:33 p.m.