Triple

T12394672
Position Surface form Disambiguated ID Type / Status
Subject Carmel Tunnels E296084 entity
Predicate connects P390 FINISHED
Object Carmel Beach E370083 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: Carmel Beach | Statement: [Carmel Tunnels, connects, Carmel Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmel Beach
Context triple: [Carmel Tunnels, connects, Carmel Beach]
  • A. Carmel Beach chosen
    Carmel Beach is a popular Mediterranean seaside area in Haifa, Israel, known for its sandy shoreline, promenades, and recreational facilities.
  • B. Carmel Beach
    Carmel Beach is a scenic white-sand shoreline along the Pacific Ocean in Carmel-by-the-Sea, California, known for its dramatic cypress trees, coastal bluffs, and picturesque sunsets.
  • C. Moere Beach
    Moere Beach is an artificial beach and water-play area within Sapporo’s Moerenuma Park, designed as a recreational spot for families and children.
  • D. Valtos Beach
    Valtos Beach is a popular sandy and pebbly seaside destination near Parga in northwestern Greece, known for its clear waters and scenic coastal landscape.
  • E. Kalmus Beach
    Kalmus Beach is a popular public beach in Hyannis, Massachusetts, known for its strong winds that make it a favorite spot for windsurfing and kiteboarding.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a533a2788190b885c000c29f4e87 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:54 p.m.