Triple
T1422562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guernsey pound |
E30256
|
entity |
| Predicate | localNotation |
P4955
|
FINISHED |
| Object | GGP |
—
|
LITERAL 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: GGP | Statement: [Guernsey pound, localNotation, GGP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localNotation Context triple: [Guernsey pound, localNotation, GGP]
-
A.
representedLocallyBy
chosen
Indicates that an entity is expressed, implemented, or instantiated in a specific local form or representation by another entity.
-
B.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
C.
localNickname
Indicates that an entity is known by a particular nickname within a specific local or regional context.
-
D.
notationType
Indicates the specific system or style of notation used to represent or encode something (such as music, math, or language).
-
E.
levelNotation
Indicates the specific symbolic or textual notation used to represent the level, degree, or rank of something within a defined scale or hierarchy.
- F. None of above.
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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.