Triple
T4216810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infante of Portugal |
E94237
|
entity |
| Predicate | rankRelativeToMonarch |
P50407
|
FINISHED |
| Object | below the reigning king or queen |
—
|
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: below the reigning king or queen | Statement: [Infante of Portugal, rankRelativeToMonarch, below the reigning king or queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToMonarch Context triple: [Infante of Portugal, rankRelativeToMonarch, below the reigning king or queen]
-
A.
rankInPrincelyOrder
chosen
Indicates the position or level an entity holds within a specified princely order or hierarchy.
-
B.
rankRelativeToPeerage
Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
-
C.
positionOnMonarchy
Indicates a stance, opinion, or policy position that an entity holds regarding the institution or system of monarchy.
-
D.
roleInKingship
Indicates that an entity holds or plays a specific role or position within a system of kingship or royal authority.
-
E.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e4bf6088190926b982039a12079 |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.