Triple
T25082123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuan Besar |
E628212
|
entity |
| Predicate | denotesSocialRank |
P47925
|
FINISHED |
| Object | highest traditional rank in Sarawak under the White Rajahs |
—
|
NE NERFINISHED |
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: highest traditional rank in Sarawak under the White Rajahs | Statement: [Tuan Besar, denotesSocialRank, highest traditional rank in Sarawak under the White Rajahs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesSocialRank Context triple: [Tuan Besar, denotesSocialRank, highest traditional rank in Sarawak under the White Rajahs]
-
A.
denotesReputationOf
Indicates that one entity represents, expresses, or serves as an indicator of the reputation or perceived standing of another entity.
-
B.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
-
C.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
namedForRank
Indicates that something is named after a specific rank or title held by an entity.
-
E.
isRank
chosen
Indicates that one entity serves as the rank, level, or hierarchical position associated with 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f461df9e5c8190a7718943b8b1400f |
completed | May 1, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:22 a.m.