Triple
T7110597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMDL |
E165696
|
entity |
| Predicate | hasMarginOfSafety |
P74605
|
FINISHED |
| Object | to account for uncertainty in analysis |
—
|
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: to account for uncertainty in analysis | Statement: [TMDL, hasMarginOfSafety, to account for uncertainty in analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarginOfSafety Context triple: [TMDL, hasMarginOfSafety, to account for uncertainty in analysis]
-
A.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
B.
marginOf
Indicates the difference or buffer between two related quantities, values, or boundaries, often expressing how much one exceeds or falls short of another.
-
C.
hasSecurityClause
Indicates that an agreement, contract, or document includes a provision specifying security-related requirements, protections, or safeguards.
-
D.
isMarginable
Indicates that a financial asset or position can be used as collateral for borrowing funds or trading on margin.
-
E.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5be09d881909988b5382ffa20ed |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e456e89481908df42a1b4232a4a0 |
completed | March 27, 2026, 8:11 p.m. |
Created at: March 27, 2026, 2:43 p.m.