Triple

T27655644
Position Surface form Disambiguated ID Type / Status
Subject Grotta di Nettuno E696982 entity
Predicate hasCaveLake P123528 FINISHED
Object Lago Lamarmora
Lago Lamarmora is an underground lake located within the famous Grotta di Nettuno sea cave complex in Sardinia, Italy.
E1785838 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: Lago Lamarmora | Statement: [Grotta di Nettuno, hasCaveLake, Lago Lamarmora]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lago Lamarmora
Triple: [Grotta di Nettuno, hasCaveLake, Lago Lamarmora]
Generated description
Lago Lamarmora is an underground lake located within the famous Grotta di Nettuno sea cave complex in Sardinia, Italy.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCaveLake
Context triple: [Grotta di Nettuno, hasCaveLake, Lago Lamarmora]
  • A. hasCaves
    Indicates that one entity possesses, contains, or is characterized by the presence of caves.
  • B. hasLakes chosen
    Indicates that one entity possesses, contains, or is characterized by the presence of one or more lakes.
  • C. hasLakeLandscape
    Indicates that an entity features or is characterized by a landscape that includes a lake.
  • D. hasLakeOrKund
    Indicates that an entity possesses, contains, or is associated with a lake or kund (a water reservoir or pond).
  • E. hasNearbyLake
    Indicates that one entity is located close to or in the vicinity of a lake.
  • F. None of above.

Provenance (6 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_69ef590abd3c8190834d0193bde12007 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f7aa699d68819081ed363931894ab3 completed May 3, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e44ac6f48190a188ea41c6e121d6 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e51506ac8190bc8cac0bad87dad5 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5cfee048190a139532d8e125411 completed May 24, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69f7a8cec6d48190bebfa884b2f938c0 completed May 3, 2026, 7:58 p.m.
Created at: April 27, 2026, 2:34 p.m.