Triple
T21403667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melrose Abbey |
E527974
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Melrose |
—
|
NE NERFINISHED |
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: Melrose | Statement: [Melrose Abbey, locatedIn, Melrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melrose Context triple: [Melrose Abbey, locatedIn, Melrose]
-
A.
Melrose
chosen
Melrose is a historic town in the Scottish Borders, best known for the ruins of Melrose Abbey and its picturesque setting near the River Tweed.
-
B.
Melrose
Melrose is a residential and commercial neighborhood in the South Bronx of New York City known for its dense urban character and diverse community.
-
C.
Melrose
Melrose is a residential neighborhood located within the borough of Sayreville in Middlesex County, New Jersey.
-
D.
Melrose
Melrose is a 1990 electronic music album by the German group Tangerine Dream, known for its melodic, atmospheric soundscapes.
-
E.
Melrose
Melrose is a coastal residential and resort community located on Daufuskie Island in South Carolina, known for its beaches, golf, and secluded island setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1729eb48190a4ea48bf1f158a37 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:28 p.m.