Triple

T30647592
Position Surface form Disambiguated ID Type / Status
Subject Grozăvești Bridge E780165 entity
Predicate hasNameOrigin P3325 FINISHED
Object Grozăvești neighborhood
Grozăvești neighborhood is a district in western Bucharest, Romania, known for its student campuses, commercial developments, and proximity to major transport links along the Dâmbovița River.
 E1926206 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: Grozăvești neighborhood | Statement: [Grozăvești Bridge, hasNameOrigin, Grozăvești neighborhood]
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: Grozăvești neighborhood
Triple: [Grozăvești Bridge, hasNameOrigin, Grozăvești neighborhood]
Generated description
Grozăvești neighborhood is a district in western Bucharest, Romania, known for its student campuses, commercial developments, and proximity to major transport links along the Dâmbovița River.

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_69f224a5d2b481908a6853cd0138e2d7 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a9537fc819083849c707a8add46 completed May 2, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2870ecce7c8190b417e4f1b523a657 completed June 9, 2026, 8 p.m.
NEDg Description generation batch_6a2871b4b3308190a941e5e12ee67327 completed June 9, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_6a28721a8f7881908544f0d277189c34 completed June 9, 2026, 8:05 p.m.
Created at: April 29, 2026, 8:29 p.m.