Triple
T783590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Emmanuel of Belgium |
E16552
|
entity |
| Predicate | orderInFamily |
P159
|
FINISHED |
| Object | third child of King Philippe and Queen Mathilde |
—
|
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: third child of King Philippe and Queen Mathilde | Statement: [Prince Emmanuel of Belgium, orderInFamily, third child of King Philippe and Queen Mathilde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInFamily Context triple: [Prince Emmanuel of Belgium, orderInFamily, third child of King Philippe and Queen Mathilde]
-
A.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
B.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
-
C.
orderInUnion
chosen
Indicates the relative position or sequence of an entity within a union or ordered collection of entities.
-
D.
orderFoundedBy
Indicates that a particular order or organization was established or created by a specific person or entity.
-
E.
belongsToSubfamily
Indicates that one entity is a member of, or classified within, a specific subfamily of another entity.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7686d0881908c2a4395059be02c |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.