Triple
T11992260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kee |
E285434
|
entity |
| Predicate | pregnancySignificance |
P428
|
FINISHED |
| Object | first known pregnant woman in 18 years |
—
|
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: first known pregnant woman in 18 years | Statement: [Kee, pregnancySignificance, first known pregnant woman in 18 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pregnancySignificance Context triple: [Kee, pregnancySignificance, first known pregnant woman in 18 years]
-
A.
pregnantBy
Indicates that one entity is carrying a pregnancy that was biologically conceived by another specified entity.
-
B.
significance
chosen
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
C.
isPregnantIn
Indicates that an entity is in a state of pregnancy during a specified time or within a particular context.
-
D.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
E.
gestationPeriod
Indicates the length of time an organism develops in the womb or equivalent structure from conception to birth.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.