Triple

T5221041
Position Surface form Disambiguated ID Type / Status
Subject Marciana E117867 entity
Predicate near P350 FINISHED
Object Monte Capanne E122776 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: Monte Capanne | Statement: [Marciana, near, Monte Capanne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Capanne
Context triple: [Marciana, near, Monte Capanne]
  • A. Monte Capanne chosen
    Monte Capanne is a prominent mountain in the Tuscan Archipelago of Italy, known for its panoramic views over the island of Elba and the surrounding Tyrrhenian Sea.
  • B. Monte Fumaiolo
    Monte Fumaiolo is a mountain in the northern Apennines of Italy best known as the source of the Tiber River.
  • C. Monte Lussari
    Monte Lussari is a scenic mountain in northeastern Italy known for its hilltop sanctuary and panoramic views near the town of Tarvisio.
  • D. Monte Quacella
    Monte Quacella is a prominent mountain peak in the Madonie range of northern Sicily, Italy, known for its rugged limestone cliffs and scenic hiking routes.
  • E. Monte Patria
    Monte Patria is a rural municipality and town in Chile’s Coquimbo Region, known for its agricultural production and scenic valleys.
  • 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_69bd7ab846548190bcd2c5cd238f6cd9 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff49d708190a042dfab473a9646 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.