Triple

T6685084
Position Surface form Disambiguated ID Type / Status
Subject Lusk E152080 entity
Predicate roadAccess P385 FINISHED
Object R132 road E211293 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: R132 road | Statement: [Lusk, roadAccess, R132 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R132 road
Context triple: [Lusk, roadAccess, R132 road]
  • A. R132 road chosen
    The R132 road is a regional roadway in Ireland that runs through County Dublin, serving as a key local route parallel to parts of the M1 and connecting towns such as Swords.
  • B. R124 road
    The R124 road is a regional route in County Dublin, Ireland, connecting several suburban and coastal areas north of Dublin city.
  • C. R352 road
    The R352 road is a regional route in Ireland that runs through County Galway and County Clare, linking towns such as Portumna and Ennis.
  • D. R301 road
    The R301 road is a regional route in South Africa’s Western Cape that connects several towns in the Cape Winelands region.
  • E. A3211 road
    The A3211 road is a major route running through central London along the north bank of the River Thames, connecting key areas such as the City of London and Westminster.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af0c0e4819094c89193a222a6c9 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:04 p.m.