Triple

T20293647
Position Surface form Disambiguated ID Type / Status
Subject Ubari Lakes E510090 entity
Predicate hasPart P35 FINISHED
Object Ain al-Bridje Lake
Ain al-Bridje Lake is one of the small desert lakes in Libya’s Ubari Sand Sea, known for its striking contrast of blue water against surrounding sand dunes.
 E1765647 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: Ain al-Bridje Lake | Statement: [Ubari Lakes, hasPart, Ain al-Bridje Lake]
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: Ain al-Bridje Lake
Triple: [Ubari Lakes, hasPart, Ain al-Bridje Lake]
Generated description
Ain al-Bridje Lake is one of the small desert lakes in Libya’s Ubari Sand Sea, known for its striking contrast of blue water against surrounding sand dunes.

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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67704262c8190bc903b733d849881 completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c728d7881909581db8cbe44e1e5 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129d1d3ac481908bfc02f55a5692eb completed May 24, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_6a129ea4d28481909e42a9859efa9309 completed May 24, 2026, 6:45 a.m.
Created at: April 16, 2026, 11:13 a.m.