Triple

T3827554
Position Surface form Disambiguated ID Type / Status
Subject LGV Sud Europe Atlantique E88725 entity
Predicate concessionDuration P52215 FINISHED
Object about 50 years 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: about 50 years | Statement: [LGV Sud Europe Atlantique, concessionDuration, about 50 years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: concessionDuration
Context triple: [LGV Sud Europe Atlantique, concessionDuration, about 50 years]
  • A. concessionExpiry
    Indicates that a granted concession or special permission remains valid only until a specified expiration time or date.
  • B. concessionType
    Indicates the specific kind or category of concession (such as a discount, exemption, or special allowance) that applies in a given context.
  • C. banDurationApproximate
    Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
  • D. concessionStart
    Indicates the point in a discourse or text where a concession begins, marking a shift to acknowledging a contrasting or limiting consideration relative to what was previously stated.
  • E. concessionExtended
    Indicates that one party has granted or prolonged a special allowance, discount, or favorable term to another party.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8459f881908a2c91bb07e381ef completed March 9, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69aee74c2e04819094b94b3c0bac1806 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aeeb828fb08190901d51edbe8bd304 completed March 9, 2026, 3:47 p.m.
Created at: March 9, 2026, 3:17 p.m.