Triple

T18777795
Position Surface form Disambiguated ID Type / Status
Subject Troy E459176 entity
Predicate hasMultipleSettlementLayers P64802 FINISHED
Object true 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: true | Statement: [Troy, hasMultipleSettlementLayers, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMultipleSettlementLayers
Context triple: [Troy, hasMultipleSettlementLayers, true]
  • A. settlementLayer
    Indicates a hierarchical or structural layer within a settlement, such as a distinct level, zone, or stratum in its physical or organizational layout.
  • B. hasPortSettlement
    Indicates that a place has a settlement located at or directly associated with a port for maritime or water-based transport.
  • C. hasSettlementRole
    Indicates that an entity holds or is assigned a specific functional role or status within a settlement.
  • D. hasSettlementCharacteristic chosen
    Indicates that a settlement possesses a specific attribute, feature, or quality.
  • E. hasSubsettlement
    Indicates that one settlement includes another, smaller settlement as a subordinate or component part.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933c640081909bb6fbaa1a21d411 completed April 20, 2026, 2:45 a.m.
PD Predicate disambiguation batch_69e48d1126e4819099607837ed5aadca completed April 19, 2026, 8:06 a.m.
Created at: April 10, 2026, 11:52 a.m.