Triple

T25314567
Position Surface form Disambiguated ID Type / Status
Subject Ion C. Brătianu Boulevard E634698 entity
Predicate passesThrough P225 FINISHED
Object University Square area
The University Square area is a central and historically significant district in Bucharest, Romania, known for its major intersections, cultural institutions, and frequent public gatherings.
 E1675061 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: University Square area | Statement: [Ion C. Brătianu Boulevard, passesThrough, University Square area]
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: University Square area
Triple: [Ion C. Brătianu Boulevard, passesThrough, University Square area]
Generated description
The University Square area is a central and historically significant district in Bucharest, Romania, known for its major intersections, cultural institutions, and frequent public gatherings.

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_69e75a9847c08190bb02990d06d5ffb7 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f49686fcf081908e2ce81665f1c5ea completed May 1, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075e3878881909177f8a1c4d13c97 completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a10767511888190b32904728754c4e3 completed May 22, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_6a10772144e4819092f71f3f86935eda completed May 22, 2026, 3:32 p.m.
Created at: April 21, 2026, 1:27 p.m.