Triple

T30803567
Position Surface form Disambiguated ID Type / Status
Subject Lixus archaeological site E784436 entity
Predicate elevationRelativeTo P221 FINISHED
Object Loukkos River valley
The Loukkos River valley is a fertile river basin in northern Morocco known for its rich agricultural lands and concentration of ancient archaeological sites.
 E1931494 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: Loukkos River valley | Statement: [Lixus archaeological site, elevationRelativeTo, Loukkos River valley]
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: Loukkos River valley
Triple: [Lixus archaeological site, elevationRelativeTo, Loukkos River valley]
Generated description
The Loukkos River valley is a fertile river basin in northern Morocco known for its rich agricultural lands and concentration of ancient archaeological sites.

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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6903c7bc48190b7c72ce16dd44987 completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0b36798819089aa21120965e518 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b2031d8c8190912ab58c5966ca52 completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2cac6ec819095d1b4f927d9f772 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:42 p.m.