Triple

T26984731
Position Surface form Disambiguated ID Type / Status
Subject Lettomanoppello E679703 entity
Predicate locatedNear P294 FINISHED
Object Maiella massif
The Maiella massif is a prominent limestone mountain group in the central Apennines of Italy, known for its rugged peaks, deep valleys, and inclusion within the Maiella National Park.
E1753417 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: Maiella massif | Statement: [Lettomanoppello, locatedNear, Maiella massif]
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: Maiella massif
Triple: [Lettomanoppello, locatedNear, Maiella massif]
Generated description
The Maiella massif is a prominent limestone mountain group in the central Apennines of Italy, known for its rugged peaks, deep valleys, and inclusion within the Maiella National Park.

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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f621588b5881908f7a272c8a15fcf2 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123aae3bcc8190b0e51c2950dc60cc completed May 23, 2026, 11:39 p.m.
NEDg Description generation batch_6a123b7235d081909cc231c0b1cc9b30 completed May 23, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_6a123c1995688190a630954191d4e905 completed May 23, 2026, 11:45 p.m.
Created at: April 27, 2026, 6:48 a.m.