Triple
T4810582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melrose Abbey |
E107057
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Melrose |
E107057
|
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: 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 Park
Melrose Park is a local public park and recreational area located in Chelsea, Alabama.
-
C.
Melrose Park
Melrose Park is a riverside suburb in Sydney, Australia, known for its residential character and proximity to the Parramatta River.
-
D.
Melrose, Massachusetts
Melrose, Massachusetts is a suburban city just north of Boston known for its historic residential neighborhoods, strong public schools, and convenient commuter access to the city.
-
E.
Melrose, Bronx
Melrose is a residential and commercial neighborhood in the South Bronx of New York City, known for its dense urban character, public housing developments, and ongoing revitalization efforts.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7b879081908e0c92a67422906e |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4daa52ec8190a3243313b18a4f3d |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:23 p.m.