Triple

T27971749
Position Surface form Disambiguated ID Type / Status
Subject F-6 sector, Islamabad E706376 entity
Predicate hasCityDistrictCode P173234 FINISHED
Object F-6 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: F-6 | Statement: [F-6 sector, Islamabad, hasCityDistrictCode, F-6]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCityDistrictCode
Context triple: [F-6 sector, Islamabad, hasCityDistrictCode, F-6]
  • A. hasCityDistrictAlong
    Indicates that a city district is located along or adjacent to a specified linear feature, such as a road, river, or coastline.
  • B. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • C. inCityDistrict
    Indicates that one entity is located within the boundaries of a specific city district.
  • D. cityOrDistrict
    Indicates that the subject is classified as either a city or a district in relation to the object.
  • E. cityDistrictFunction
    Indicates that a specific function, role, or land-use purpose is assigned to or characterizes a particular district within a city.
  • 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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6b342499c8190b85009a3f0f179e4 completed May 3, 2026, 2:30 a.m.
PD Predicate disambiguation batch_69f6b14d7d508190bc7d4c89dfba4a32 completed May 3, 2026, 2:22 a.m.
PDg Predicate description generation batch_69f6b2a31e008190aacef03c2ebe5787 completed May 3, 2026, 2:27 a.m.
Created at: April 27, 2026, 7:38 p.m.