Triple
T6672273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infanta Sofía of Spain |
E151758
|
entity |
| Predicate | birthWeight |
P72396
|
FINISHED |
| Object | approximately 3.3 kilograms |
—
|
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: approximately 3.3 kilograms | Statement: [Infanta Sofía of Spain, birthWeight, approximately 3.3 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: birthWeight Context triple: [Infanta Sofía of Spain, birthWeight, approximately 3.3 kilograms]
-
A.
birthType
Indicates the manner or method by which a birth occurred or was brought about.
-
B.
birthStatus
Indicates the condition or circumstances of an entity’s birth, such as whether and how it was born.
-
C.
birthProcess
Indicates the biological process through which a new organism is brought into existence from its parent or parents.
-
D.
weightForAge
Indicates the weight measurement associated with an entity given its age.
-
E.
birthEvent
Indicates an event in which an entity comes into existence by being born, typically linking the newborn to contextual details such as time, place, and participants.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6ce72809c8190be85f6e42ca1c8ea |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 2:03 p.m.