Triple

T9421574
Position Surface form Disambiguated ID Type / Status
Subject Stabekk E227163 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Jar E704205 NE 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: Jar | Statement: [Stabekk, hasNeighbourhood, Jar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jar
Context triple: [Stabekk, hasNeighbourhood, Jar]
  • A. Jar chosen
    Jar is a residential suburban area in the municipality of Bærum, just west of Oslo, Norway.
  • B. Jam
    Jam is a sweet, spreadable fruit preserve made by cooking fruit with sugar until it thickens.
  • C. Jam
    Jam is a royal title historically used by rulers in parts of western India, particularly associated with the Jadeja Rajput dynasty of regions like Nawanagar (now Jamnagar) in Gujarat.
  • D. Jug
    "Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
  • E. JAR
    JAR is the acronym for the Joint Aviation Requirements, a set of harmonized civil aviation regulations developed by the former Joint Aviation Authorities in Europe.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c95c9481909957b99cacf5e045 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.