Triple

T5241295
Position Surface form Disambiguated ID Type / Status
Subject Algés E118346 entity
Predicate hasTramHistory P62337 FINISHED
Object served historically by Lisbon tram network 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: served historically by Lisbon tram network | Statement: [Algés, hasTramHistory, served historically by Lisbon tram network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTramHistory
Context triple: [Algés, hasTramHistory, served historically by Lisbon tram network]
  • A. hasTransportHistory
    Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
  • B. hasTransportHistoryAs
    Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
  • C. hasTramway
    Indicates that a location or area is served by, contains, or is connected to a tramway system.
  • D. hasTramDestination
    Indicates that a tram route or service goes to or terminates at a specified destination.
  • E. hasTransportHistorySignificance
    Indicates that something holds notable importance or relevance within the historical development or evolution of transportation systems or practices.
  • F. None of above. chosen

Provenance (4 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2c50508190b84bab216c30cbfe completed March 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69bd77c1397c8190a7fd844d7a396e54 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79e9d794819097bb628c603d14af completed March 20, 2026, 4:46 p.m.
Created at: March 20, 2026, 1:49 p.m.