Triple
T3521879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurodollar time deposits |
E74440
|
entity |
| Predicate | hasMaturityType |
P49204
|
FINISHED |
| Object | time deposit |
—
|
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: time deposit | Statement: [Eurodollar time deposits, hasMaturityType, time deposit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaturityType Context triple: [Eurodollar time deposits, hasMaturityType, time deposit]
-
A.
maturityRange
Indicates the span or limits of maturity (such as age, development stage, or readiness) within which the related entities or conditions are considered applicable.
-
B.
maturityDuration
Indicates the length of time required for something to reach its full development, readiness, or maturity.
-
C.
maturity
Indicates that an entity has reached a specified stage of development, completeness, or readiness, often marking the point at which certain rights, obligations, or behaviors become applicable.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasInceptionPeriod
Indicates the time span or period during which something begins or comes into existence.
- 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_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb21a437c81908bca88d5e123d744 |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:19 p.m.