Triple

T14768205
Position Surface form Disambiguated ID Type / Status
Subject Jodoigne E347056 entity
Predicate roadAccess P385 FINISHED
Object N29 road E831488 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: N29 road | Statement: [Jodoigne, roadAccess, N29 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N29 road
Context triple: [Jodoigne, roadAccess, N29 road]
  • A. N29 road chosen
    The N29 road is a regional highway in Belgium that connects several towns and provides important local and interurban access routes.
  • B. N9 road
    The N9 road is a national route in South Africa that runs through the Eastern and Western Cape, linking several inland towns and serving as an important regional transport corridor.
  • C. N9 road
    The N9 road is a major Moroccan highway that connects the city of Marrakech with the southern regions, crossing the High Atlas Mountains and passing through towns such as Zagora.
  • D. N22 road
    The N22 road is a major national primary route in Ireland that links Cork city with Killarney and Tralee in County Kerry.
  • E. N27 road
    The N27 road is a national primary route in Cork, Ireland, providing a key link between Cork city centre and Cork Airport.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81236f081908063bb4350b7b985 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b41df881908119e183b8299c48 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:30 a.m.