Triple
T23420260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaranteed Investment Certificate |
E560630
|
entity |
| Predicate | hasCommonTermLength |
P152196
|
FINISHED |
| Object | 30 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: 30 days | Statement: [Guaranteed Investment Certificate, hasCommonTermLength, 30 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonTermLength Context triple: [Guaranteed Investment Certificate, hasCommonTermLength, 30 days]
-
A.
hasCommonStringCount
Indicates that two entities share a specified number of identical string values in common.
-
B.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
-
C.
hasCommonSubsetSize
Indicates that two sets share at least one subset whose size (number of elements) is the same for both.
-
D.
hasCommonValue
Indicates that two or more entities share at least one identical value or attribute in common.
-
E.
positionTermLength
Indicates the duration or length of time associated with holding a particular position or role.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54605dc81909aad9834ef6ff8a1 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:44 p.m.