Triple
T16690032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Oeiras |
E405568
|
entity |
| Predicate | precedenceRelation |
P34031
|
FINISHED |
| Object | lower than Marquis of Pombal |
—
|
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: lower than Marquis of Pombal | Statement: [Count of Oeiras, precedenceRelation, lower than Marquis of Pombal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedenceRelation Context triple: [Count of Oeiras, precedenceRelation, lower than Marquis of Pombal]
-
A.
bindingPrecedent
Indicates that a prior decision or ruling must be followed as an authoritative legal standard in deciding a current case.
-
B.
predecessorRelations
Indicates that one entity comes before another in an ordered sequence or lineage, serving as its predecessor.
-
C.
hasPrecedence
chosen
Indicates that one entity occurs, is considered, or is applied before another in order, priority, or importance.
-
D.
predecessorRelationship
Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
-
E.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea8cabc8190ba321503399960da |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.