Triple
T19992655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | APOE ε3 allele |
E494101
|
entity |
| Predicate | hasApproximateGlobalFrequency |
P111712
|
FINISHED |
| Object | 0.75 |
—
|
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: 0.75 | Statement: [APOE ε3 allele, hasApproximateGlobalFrequency, 0.75]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateGlobalFrequency Context triple: [APOE ε3 allele, hasApproximateGlobalFrequency, 0.75]
-
A.
hasApproximateRate
chosen
Indicates that one entity is associated with another entity representing an estimated or non-exact rate or frequency.
-
B.
hasApproximateUse
Indicates that one entity is used for a purpose that is similar to, but not exactly the same as, the use or function of another entity.
-
C.
hasApproximateNumberOfSymbols
Indicates that an entity is associated with a quantity of symbols that is approximate rather than exact.
-
D.
isGloballySignificant
Indicates that something has importance, impact, or relevance on a worldwide scale rather than being limited to a local or regional context.
-
E.
isFrequentlyBroadcastDuring
Indicates that one entity (such as a program, advertisement, or message) is regularly aired or transmitted during another entity (such as a specific time slot, event, or show).
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe10ffc81908c94168b0a8ea9c9 |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:31 p.m.