Triple

T33365513
Position Surface form Disambiguated ID Type / Status
Subject Ialomița River E854339 entity
Predicate leftTributary P114978 FINISHED
Object Moroeni River
The Moroeni River is a smaller watercourse in Romania that feeds into the Ialomița River as one of its tributaries.
 E2296821 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: Moroeni River | Statement: [Ialomița River, leftTributary, Moroeni River]
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: Moroeni River
Triple: [Ialomița River, leftTributary, Moroeni River]
Generated description
The Moroeni River is a smaller watercourse in Romania that feeds into the Ialomița River as one of its tributaries.

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_69f3496bda8c8190bfc8fade9d1b791c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6dfd118948190b46b1bd1c8fd1cc8 completed May 3, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82c0235ad8819086edbe8ec9bc5115 completed Aug. 17, 2026, 8:02 a.m.
NEDg Description generation batch_6a82c07397a48190995f4274565076f7 completed Aug. 17, 2026, 8:04 a.m.
NED2 Entity disambiguation (via description) batch_6a82c0c58f88819094c93c329ebc9bd8 completed Aug. 17, 2026, 8:05 a.m.
Created at: May 1, 2026, 1:35 a.m.