Triple
T14096959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddish South |
E339276
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Reddish |
E66664
|
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: Reddish | Statement: [Reddish South, hasSettlement, Reddish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddish Context triple: [Reddish South, hasSettlement, Reddish]
-
A.
Reddish
chosen
Reddish is a suburban area and former industrial village in the Metropolitan Borough of Stockport, Greater Manchester, England.
-
B.
Dark Red
"Dark Red" is the critically acclaimed 2017 debut studio album by American musician Steve Lacy, blending lo-fi R&B, funk, and indie rock elements.
-
C.
Crimson
Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
-
D.
Virgin red
Virgin red is the distinctive, vibrant shade of red used across the Virgin brand’s visual identity to convey energy, boldness, and recognition.
-
E.
Red
Red is the nickname of Red Rolfe, an American Major League Baseball third baseman best known for his years with the New York Yankees in the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27ff5b7081908ab27d5851b274ea |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 9, 2026, 10:22 p.m.