Triple
T12189628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galloway Forest Park |
E290427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Merrick |
E85992
|
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: Merrick | Statement: [Galloway Forest Park, contains, Merrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merrick Context triple: [Galloway Forest Park, contains, Merrick]
-
A.
Merrick
chosen
Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
-
B.
Merrick
"Merrick" is a horror novel by Tabitha King that explores dark family secrets and psychological terror in a small-town setting.
-
C.
Merrick
Merrick is a character from the comic book series and film adaptation "The Old Guard," which follows a covert team of immortal mercenaries.
-
D.
Merrick
Merrick is a suburban community on Long Island, New York, known as a residential area with commuter rail access to New York City.
-
E.
Moross
Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6b240f88190af916054869c3b95 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.