Triple
T11905599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linked Exchange Rate System |
E283264
|
entity |
| Predicate | lowerExchangeRateBound |
P17139
|
FINISHED |
| Object | 7.75 HKD per 1 USD |
—
|
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: 7.75 HKD per 1 USD | Statement: [Linked Exchange Rate System, lowerExchangeRateBound, 7.75 HKD per 1 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerExchangeRateBound Context triple: [Linked Exchange Rate System, lowerExchangeRateBound, 7.75 HKD per 1 USD]
-
A.
lowerLimit
chosen
Indicates that one value serves as the minimum or smallest allowable bound or threshold for another value or range.
-
B.
lowerBandWidth
Indicates that one entity has a smaller or more limited bandwidth capacity than another.
-
C.
lowEnergyLimit
Indicates a relationship where an entity is constrained by or subject to a minimum allowable energy level or threshold.
-
D.
lowerDenomination
Indicates that one entity represents a monetary unit of smaller value than another entity within the same currency system.
-
E.
lowerValueIndicates
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.