Triple

T36104663
Position Surface form Disambiguated ID Type / Status
Subject Pre-Pyrenees E1044320 entity
Predicate contains P35 FINISHED
Object Ribagorça foothills
The Ribagorça foothills are a mountainous region of rolling lower-elevation ranges and valleys in northeastern Spain, forming part of the transitional landscape between the Ebro basin and the central Pyrenees.
E2170198 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: Ribagorça foothills | Statement: [Pre-Pyrenees, contains, Ribagorça foothills]
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: Ribagorça foothills
Triple: [Pre-Pyrenees, contains, Ribagorça foothills]
Generated description
The Ribagorça foothills are a mountainous region of rolling lower-elevation ranges and valleys in northeastern Spain, forming part of the transitional landscape between the Ebro basin and the central Pyrenees.

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_69f76e338e2c8190b7f3bc68bec76349 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2944c2081909210c6ad99757b16 completed May 3, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ddfee388819084fe4e94d039e2ee completed June 22, 2026, 7:02 a.m.
NEDg Description generation batch_6a38f194b6f881909e27fe73c83c2b1d completed June 22, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_6a38f35df5308190991210dda64a0083 completed June 22, 2026, 8:33 a.m.
Created at: May 3, 2026, 4:08 p.m.