Triple
T5621510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Row newspaper district |
E147614
|
entity |
| Predicate | declinedBecauseOf |
P6667
|
FINISHED |
| Object | relocation of newspapers to Midtown Manhattan |
—
|
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: relocation of newspapers to Midtown Manhattan | Statement: [Park Row newspaper district, declinedBecauseOf, relocation of newspapers to Midtown Manhattan]
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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02211c8f4819090d19656c6eac2d4 |
completed | March 22, 2026, 5:08 p.m. |
Created at: March 22, 2026, 3:40 p.m.