Triple
T14666527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brampton |
E344389
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gelt Woods |
E657471
|
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: Gelt Woods | Statement: [Brampton, near, Gelt Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelt Woods Context triple: [Brampton, near, Gelt Woods]
-
A.
Gelt Woods
chosen
Gelt Woods is a scenic woodland and river gorge in Cumbria, England, known for its walking trails, wildlife, and historic sandstone carvings.
-
B.
Willona Woods
Willona Woods is a witty, outspoken neighbor and close friend of the Evans family on the 1970s sitcom "Good Times," known for her humor and strong, independent personality.
-
C.
Herbst Woods
Herbst Woods is a historically significant woodland area on the Gettysburg Battlefield, known as the site of intense fighting on the first day of the Battle of Gettysburg during the American Civil War.
-
D.
Kultida Woods
Kultida Woods is the Thai-born mother of golf legend Tiger Woods, known for her strong influence on his upbringing and cultural heritage.
-
E.
Nyberg Woods
Nyberg Woods is a retail shopping center in Tualatin, Oregon, featuring a variety of stores, restaurants, and services.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e63e6c8190ba67776719f2ff0c |
completed | May 8, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.