Triple
T10029703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pahang State Legislative Assembly |
E204820
|
entity |
| Predicate | hasLeaderType |
P25067
|
FINISHED |
| Object | Speaker |
—
|
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: Speaker | Statement: [Pahang State Legislative Assembly, hasLeaderType, Speaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeaderType Context triple: [Pahang State Legislative Assembly, hasLeaderType, Speaker]
-
A.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
B.
hasLeaderParticipant
Indicates that an entity participates in an event or activity in the role of a leader.
-
C.
hasTypeOfLeadership
chosen
Indicates that an entity possesses or is characterized by a specific style or form of leadership.
-
D.
hasLeaderLineage
Indicates that an entity’s lineage or ancestry includes one or more individuals who have held a leadership role.
-
E.
hasProminentLeaderFromState
Indicates that an entity has a leading or highly influential figure whose origin or primary affiliation is with a specified state.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde69bd08190a5c79ec8487dfff6 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.