Triple

T3142126
Position Surface form Disambiguated ID Type / Status
Subject Mount Pico E65673 entity
Predicate hasNationalTopographicCode P45621 FINISHED
Object Pico Mountain E65673 NE FINISHED

How this triple was built (3 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: Pico Mountain | Statement: [Mount Pico, hasNationalTopographicCode, Pico Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico Mountain
Context triple: [Mount Pico, hasNationalTopographicCode, Pico Mountain]
  • A. Mount Pico chosen
    Mount Pico is a prominent stratovolcano on Pico Island in the Azores and the highest peak in Portugal.
  • B. Picota peak
    Picota peak is a prominent mountain summit in Portugal’s Serra de Monchique range, known for its panoramic views over the Algarve region.
  • C. Monte Patria
    Monte Patria is a rural municipality and town in Chile’s Coquimbo Region, known for its agricultural production and scenic valleys.
  • D. Mount Giona
    Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
  • E. Monte Perdido
    Monte Perdido is the third-highest mountain in the Pyrenees, renowned for its dramatic limestone massif and location within Spain’s Ordesa y Monte Perdido National Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNationalTopographicCode
Context triple: [Mount Pico, hasNationalTopographicCode, Pico Mountain]
  • A. GNISID
    Indicates that an entity is associated with a specific identifier from the U.S. Geographic Names Information System (GNIS), uniquely linking it to an official geographic feature record.
  • B. hasNationalParkServiceUnitCode
    Indicates that an entity is associated with a specific National Park Service unit, identified by its official unit code.
  • C. hasNationalScenicArea
    Indicates that an entity is designated as or associated with a National Scenic Area.
  • D. NATODesignation
    Indicates that one entity is the official name or code assigned to another entity by NATO for identification or classification purposes.
  • E. GNISFeatureID
    Indicates that an entity is associated with a specific identifier assigned by the U.S. Geological Survey’s Geographic Names Information System (GNIS) to uniquely reference a geographic feature.
  • F. None of above. chosen

Provenance (5 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e9029c8190bd88dbb18b5f71a8 completed March 12, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69ad9df840088190a26a1516f4c1f056 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada0f7c21c819087e9992f5fe30a37 completed March 8, 2026, 4:16 p.m.
Created at: March 8, 2026, 3:05 p.m.