Triple

T34755200
Position Surface form Disambiguated ID Type / Status
Subject Montpellier city walls (former) E1001897 entity
Predicate presentUseOfRemains P192870 FINISHED
Object tourist attraction 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: tourist attraction | Statement: [Montpellier city walls (former), presentUseOfRemains, tourist attraction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentUseOfRemains
Context triple: [Montpellier city walls (former), presentUseOfRemains, tourist attraction]
  • A. bodiesExhumed
    Indicates that previously buried bodies have been dug up and removed from their place of interment.
  • B. hasPhysicalRemains
    Indicates that an entity possesses or is associated with tangible, material remains or physical evidence of its existence.
  • C. numberOfHumanRemainsFound
    Indicates the quantity of human remains that have been discovered in a given context or location.
  • D. rediscoveryOfRemains
    Indicates the event or relationship in which previously discovered remains are found, identified, or brought to attention again after having been lost, forgotten, or overlooked.
  • E. finalDispositionOfRemains
    Indicates the relationship specifying how a person's physical remains are ultimately handled, treated, or placed after death.
  • 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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
PDg Predicate description generation batch_69fd2cf29f808190856ab1d43a51d5c7 completed May 8, 2026, 12:23 a.m.
Created at: May 3, 2026, 3:59 p.m.