Triple

T14296007
Position Surface form Disambiguated ID Type / Status
Subject Philipsdorp residential district E354438 entity
Predicate historicallyAssociatedWithIndustry P3008 FINISHED
Object electronics industry 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: electronics industry | Statement: [Philipsdorp residential district, historicallyAssociatedWithIndustry, electronics industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyAssociatedWithIndustry
Context triple: [Philipsdorp residential district, historicallyAssociatedWithIndustry, electronics industry]
  • A. hasHistoricIndustry chosen
    Indicates that an entity has been associated with a notable or historically significant industry or industrial activity in the past.
  • B. historicallyLinked
    Indicates that two entities are connected through a shared or related historical event, period, or development.
  • C. roleHistoricallyAssociatedWith
    Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over time.
  • D. hadStateOwnershipOfIndustry
    Indicates that a governing authority or state entity possessed ownership and control over a particular industry.
  • E. historicallyBorneBy
    Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717b35ec81908968994e65737c66 completed April 14, 2026, 4:55 p.m.
PD Predicate disambiguation batch_69de2a8f81f08190af737e1654847aa6 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:11 a.m.