Triple

T5219164
Position Surface form Disambiguated ID Type / Status
Subject San Pedro de la Paz E117825 entity
Predicate hasTransportConnection P845 FINISHED
Object Route 160 E342883 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: Route 160 | Statement: [San Pedro de la Paz, hasTransportConnection, Route 160]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 160
Context triple: [San Pedro de la Paz, hasTransportConnection, Route 160]
  • A. Route 160 chosen
    Route 160 is a regional transportation route that serves as a key roadway connection for the city of Lota in Chile’s Biobío Region.
  • B. Route 140
    Route 140 is a state highway in Massachusetts that runs generally north–south, connecting several cities and towns between New Bedford and the Franklin area.
  • C. Route 146
    Route 146 is a major north–south highway in Massachusetts and Rhode Island that connects the Worcester area to the Providence metropolitan region.
  • D. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • E. Route 100
    Route 100 is the former designation of the Norristown High Speed Line, an interurban rapid transit route in the Philadelphia metropolitan area.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ab6e63c8190964b2b65a0206134 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8059c808190aac709a199541ce7 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:48 p.m.