Triple
T3521846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3-month U.S. dollar LIBOR |
E74439
|
entity |
| Predicate | quotedOn |
P48133
|
FINISHED |
| Object | business days |
—
|
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: business days | Statement: [3-month U.S. dollar LIBOR, quotedOn, business days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quotedOn Context triple: [3-month U.S. dollar LIBOR, quotedOn, business days]
-
A.
quoteAttributedTo
Indicates that a specific quotation is credited as having been said or written by a particular source or entity.
-
B.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
C.
quoteDescription
Indicates that one entity provides a textual description or explanation of a quoted statement or quotation associated with another entity.
-
D.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4dd6d48190a5a3f4b86c82b86c |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed7f2ec819085467d281712e0e8 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.