Triple

T26540661
Position Surface form Disambiguated ID Type / Status
Subject RMIT Building 8 E671376 entity
Predicate adjacentTo P224 FINISHED
Object RMIT Building 10
RMIT Building 10 is a major academic and administrative facility on RMIT University's City campus in Melbourne, Australia.
 E1734522 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: RMIT Building 10 | Statement: [RMIT Building 8, adjacentTo, RMIT Building 10]
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: RMIT Building 10
Triple: [RMIT Building 8, adjacentTo, RMIT Building 10]
Generated description
RMIT Building 10 is a major academic and administrative facility on RMIT University's City campus in Melbourne, Australia.

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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6143085b48190940d653f05f96487 completed May 2, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec136d688190807488358c8a3d16 completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ed11cca08190b0700be2359851d0 completed May 23, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_6a11edfed6288190b0c75e8c4a0216ba completed May 23, 2026, 6:12 p.m.
Created at: April 27, 2026, 1:41 a.m.