Triple
T566330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Men |
E13560
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Sherwood Forest |
E12989
|
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: Sherwood Forest | Statement: [Merry Men, operatesIn, Sherwood Forest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherwood Forest Context triple: [Merry Men, operatesIn, Sherwood Forest]
-
A.
Sherwood Forest
chosen
Sherwood Forest is a historic royal forest in Nottinghamshire, England, best known as the legendary home and hideout of the outlaw hero Robin Hood and his Merry Men.
-
B.
Barnsdale Forest
Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
-
C.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
-
D.
Rumsey Woods
Rumsey Woods is a wooded area within Buffalo’s historic park and parkway system, known for its natural landscape and recreational green space.
-
E.
Petts Wood
Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efd0d5b88190a8c0822800f48e2a |
completed | March 2, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:32 p.m.