Triple
T2713830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sentimo |
E59921
|
entity |
| Predicate | valueInPhilippinePeso |
P42516
|
FINISHED |
| Object | 0.01 |
—
|
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: 0.01 | Statement: [sentimo, valueInPhilippinePeso, 0.01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueInPhilippinePeso Context triple: [sentimo, valueInPhilippinePeso, 0.01]
-
A.
valueInPula
Indicates that one entity represents the monetary value of another entity expressed in Botswana pula.
-
B.
currencyProject
Indicates a relationship where a project is associated with, uses, or is denominated in a particular currency.
-
C.
currencyPlanned
Indicates that a specific currency is intended or scheduled to be used in a planned transaction, budget, or financial arrangement.
-
D.
valueInFrancs
Indicates that a specified monetary amount is expressed or measured in French francs.
-
E.
currencyPeg
Indicates that one currency’s value is fixed or tightly linked to the value of another currency or a basket of currencies.
- F. None of above. chosen
Provenance (4 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda924b24819090adc4128e86d4bd |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.