Triple

T9154801
Position Surface form Disambiguated ID Type / Status
Subject Loreto–San Javier road E219681 entity
Predicate connects P390 FINISHED
Object Loreto E217400 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: Loreto | Statement: [Loreto–San Javier road, connects, Loreto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loreto
Context triple: [Loreto–San Javier road, connects, Loreto]
  • A. Loreto chosen
    Loreto is a historic coastal town in Baja California Sur, Mexico, known as one of the earliest Spanish settlements in the region and a gateway to the rich marine life of the Gulf of California.
  • B. Loreto, Italy
    Loreto, Italy is a renowned Catholic pilgrimage town in the Marche region, best known for the Basilica della Santa Casa, which houses the Holy House of Nazareth and a revered Marian shrine.
  • C. San Leonardo
    San Leonardo is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines, known for its rice farming and rural communities.
  • D. Loretto
    Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
  • E. Loretto
    Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96f87ac8190b2fc6d2b2834c1b6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0484e580c8190944ad76f6ef0be9d completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.