Triple

T7378588
Position Surface form Disambiguated ID Type / Status
Subject Caxton Street E170188 entity
Predicate hasConnectingStreet P36837 FINISHED
Object Vandon Street
Vandon Street is a small street in central London, located near Caxton Street in the Westminster area.
 E2294718 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: Vandon Street | Statement: [Caxton Street, hasConnectingStreet, Vandon 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: Vandon Street
Triple: [Caxton Street, hasConnectingStreet, Vandon Street]
Generated description
Vandon Street is a small street in central London, located near Caxton Street in the Westminster area.

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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1c4ad0081909386fbef9f61ae4c completed March 27, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c11dc275881909cbc874b7513fbee completed Aug. 12, 2026, 6:25 a.m.
NEDg Description generation batch_6a7c128809b88190a66c6554b95181d5 completed Aug. 12, 2026, 6:28 a.m.
NED2 Entity disambiguation (via description) batch_6a7c12ded4648190b5064484b827d040 completed Aug. 12, 2026, 6:29 a.m.
Created at: March 27, 2026, 3:08 p.m.