Triple
T29395802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advocate General of Meghalaya |
E745495
|
entity |
| Predicate | hasRightToSpeakIn |
P23106
|
FINISHED |
| Object | Meghalaya Legislative Assembly (without vote) |
—
|
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: Meghalaya Legislative Assembly (without vote) | Statement: [Advocate General of Meghalaya, hasRightToSpeakIn, Meghalaya Legislative Assembly (without vote)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRightToSpeakIn Context triple: [Advocate General of Meghalaya, hasRightToSpeakIn, Meghalaya Legislative Assembly (without vote)]
-
A.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
B.
canSpeakInDebates
chosen
Indicates that an entity has the ability or permission to speak during formal debates.
-
C.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
hasVoiceIn
Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
-
E.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 28, 2026, 2:46 p.m.