Triple

T26157709
Position Surface form Disambiguated ID Type / Status
Subject A36 road E660011 entity
Predicate connects P390 FINISHED
Object Southampton E17684 NE FINISHED

How this triple was built (1 step)

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: Southampton | Statement: [A36 road, connects, Southampton]

Provenance (3 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_69ee5bc5a9908190899d39ce95c6d215 completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69f60c10f82c8190a102d95ec1941efc completed May 2, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ae9ba5908190ae8d9d4d61aa69a6 completed May 23, 2026, 1:41 p.m.
Created at: April 26, 2026, 8:28 p.m.