Triple

T31340636
Position Surface form Disambiguated ID Type / Status
Subject Thermopylae hot springs E799294 entity
Predicate hasFreeAccessAreas P179060 FINISHED
Object yes 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: yes | Statement: [Thermopylae hot springs, hasFreeAccessAreas, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFreeAccessAreas
Context triple: [Thermopylae hot springs, hasFreeAccessAreas, yes]
  • A. hasFreeZone
    Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
  • B. hasProtectedAreaAccess
    Indicates that an entity is permitted to enter, use, or otherwise access a designated protected area under defined conditions.
  • C. hasOpenSpaces
    Indicates that an entity possesses or includes areas that are unobstructed, unoccupied, or otherwise open.
  • D. hasFreeLanes
    Indicates that a route, road, or pathway currently has lanes available that are not occupied or congested.
  • E. isAccessibleForFreeParking
    Indicates that a location or facility can be used for parking without any cost.
  • 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_69f224e3f6ac8190a13488516abca7c9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f719cc31ec819099bebcf833b14d76 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
PDg Predicate description generation batch_69f71995853c8190912025c0e83640c8 completed May 3, 2026, 9:47 a.m.
Created at: April 29, 2026, 9:16 p.m.