Triple
T19531791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamming distance |
E488672
|
entity |
| Predicate | minimumValueCondition |
P4229
|
FINISHED |
| Object | 0 when strings are identical |
—
|
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 when strings are identical | Statement: [Hamming distance, minimumValueCondition, 0 when strings are identical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumValueCondition Context triple: [Hamming distance, minimumValueCondition, 0 when strings are identical]
-
A.
minimumContractValue
Indicates the smallest allowable or agreed-upon monetary value for a contract within a given context or agreement.
-
B.
isMinimumWhen
chosen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
C.
hasMinimumValue
Indicates that an entity possesses a value that is the lowest permissible or observed within a specified set, range, or context.
-
D.
minimumGrant
Indicates that there is a lowest allowable or required amount of a grant associated with an entity or agreement.
-
E.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
- F. None of above.
Provenance (3 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363fd1f8819080805346efad2579 |
completed | April 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69e514c9c00481909b76bda67957e58b |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:41 p.m.