Triple

T25419765
Position Surface form Disambiguated ID Type / Status
Subject Manchester Town Hall Extension E636947 entity
Predicate locatedOnStreet P959 FINISHED
Object Lloyd Street
Lloyd Street is a central Manchester thoroughfare known for housing prominent civic buildings and forming part of the city's historic administrative quarter.
 E2268887 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: Lloyd Street | Statement: [Manchester Town Hall Extension, locatedOnStreet, Lloyd Street]
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: Lloyd Street
Triple: [Manchester Town Hall Extension, locatedOnStreet, Lloyd Street]
Generated description
Lloyd Street is a central Manchester thoroughfare known for housing prominent civic buildings and forming part of the city's historic administrative quarter.

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_69e75db4135881909acc287ebcb7a505 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f6bbb1048190bf951255445aeecc completed May 2, 2026, 1:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c2613e5481908c6add7a3b1ca22e completed June 29, 2026, 12:54 a.m.
NEDg Description generation batch_6a41c2d5fda881908f7f732512e9bb5e completed June 29, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a41c33a52188190a764e840b702e782 completed June 29, 2026, 12:58 a.m.
Created at: April 21, 2026, 1:56 p.m.