Triple

T8726765
Position Surface form Disambiguated ID Type / Status
Subject Alba Longa E207148 entity
Predicate near P350 FINISHED
Object Lake Albano E68381 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: Lake Albano | Statement: [Alba Longa, near, Lake Albano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Albano
Context triple: [Alba Longa, near, Lake Albano]
  • A. Lake Albano chosen
    Lake Albano is a volcanic crater lake in the Alban Hills near Rome, Italy, known for its scenic beauty and historical associations with ancient Roman rituals and papal residences.
  • B. Marano di Napoli
    Marano di Napoli is a municipality in the Campania region of southern Italy, situated in the suburban area northwest of the city of Naples.
  • C. Valle Peligna
    Valle Peligna is a mountainous basin in the Abruzzo region of central Italy, known for its historic towns, agriculture, and surrounding Apennine landscapes.
  • D. Phlegra
    Phlegra is a legendary battlefield in Greek mythology, famed as the site of the epic struggle between the Olympian gods and the Giants.
  • E. Lago di Scanno
    Lago di Scanno is a picturesque heart-shaped mountain lake in the Abruzzo region of central Italy, popular for its natural beauty and surrounding hiking trails.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d16cba881908e2a14b60ae65524 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf291b737481909a90e482273c5f76 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.