Triple
T14736619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Lloyd |
E346225
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Glasgow |
E7418
|
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: Glasgow | Statement: [Frank Lloyd, birthPlace, Glasgow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glasgow Context triple: [Frank Lloyd, birthPlace, Glasgow]
-
A.
Glasgow
chosen
Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
-
B.
Glasgo
Glasgo is a small village located within the town of Griswold in eastern Connecticut, known for its rural character and proximity to Glasgo Pond.
-
C.
Glasgwm
Glasgwm is a mountain in southern Snowdonia, Wales, known for its rugged terrain and scenic views within the Aran range.
-
D.
Edinburgh
Edinburgh is the historic and cultural heart of Scotland, renowned for its medieval Old Town, elegant Georgian New Town, and world-famous arts festivals.
-
E.
Dundee
Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb76fb58819088e5a0101143a401 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.