Triple
T37534442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gower Branch Canal |
E933155
|
entity |
| Predicate | networkRole |
P161
|
FINISHED |
| Object | link between BCN Old Main Line and New Main Line |
—
|
LITERAL 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: link between BCN Old Main Line and New Main Line | Statement: [Gower Branch Canal, networkRole, link between BCN Old Main Line and New Main Line]
Provenance (2 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba3f9af308190ad7f92c2c2bd9114 |
completed | May 6, 2026, 8:26 p.m. |
Created at: May 3, 2026, 4:17 p.m.