Triple
T20692500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunan |
E508585
|
entity |
| Predicate | precedesPersonalName |
P141103
|
FINISHED |
| Object | Javanese monarchs of Mataram |
—
|
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: Javanese monarchs of Mataram | Statement: [Sunan, precedesPersonalName, Javanese monarchs of Mataram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesPersonalName Context triple: [Sunan, precedesPersonalName, Javanese monarchs of Mataram]
-
A.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
B.
precedesDisc
Indicates that one discourse segment or unit occurs before another in the sequence of discourse.
-
C.
previousHonorificPrefix
Indicates that one entity was formerly used as an honorific prefix or title for another entity before being changed or replaced.
-
D.
precedesInCareer
Indicates that one entity’s role, position, or stage in a professional path occurs earlier in time than another entity’s corresponding role, position, or stage in that same career trajectory.
-
E.
predecessorRealName
Indicates that one entity is the real (actual) name of the predecessor of another entity.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10eaccc819085320fffbb0aeceb |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:09 p.m.