Triple
T1298345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CHF |
E27703
|
entity |
| Predicate | ISO4217Code |
P189
|
FINISHED |
| Object | CHF |
E27703
|
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: CHF | Statement: [CHF, ISO4217Code, CHF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CHF Context triple: [CHF, ISO4217Code, CHF]
-
A.
CHF
chosen
CHF is the official currency code for the Swiss franc, the national currency of Switzerland and Liechtenstein.
-
B.
Heart
Heart is a vital muscular organ in humans and many animals that continuously pumps blood through the circulatory system to sustain life.
-
C.
GCH
GCH is the vehicle registration code assigned to a specific district within Poland’s Pomeranian Voivodeship.
-
D.
HVF
HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
-
E.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c111a76c81909e6b914694986251 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acacc631b88190853948eeb5f24527 |
completed | March 7, 2026, 10:55 p.m. |
Created at: March 1, 2026, 7:51 p.m.