Triple
T29700820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meghalaya Secretariat, Shillong |
E751475
|
entity |
| Predicate | stateGovernmentServed |
P117679
|
FINISHED |
| Object | Government of Meghalaya |
—
|
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: Government of Meghalaya | Statement: [Meghalaya Secretariat, Shillong, stateGovernmentServed, Government of Meghalaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateGovernmentServed Context triple: [Meghalaya Secretariat, Shillong, stateGovernmentServed, Government of Meghalaya]
-
A.
servesStateOrDistrict
Indicates that an entity holds a role or position in service to a specific state or electoral district.
-
B.
governmentServed
Indicates that a person has held a position serving in or working for a particular government.
-
C.
servesPartOfState
chosen
Indicates that an entity serves as an official or functional part of a larger state-level governmental or administrative structure.
-
D.
servesStateCapitalRegion
Indicates that an entity provides services or functions as a service hub for the state capital region.
-
E.
stateGovernedWithin
Indicates that one state exercises governmental authority or control within the territorial or jurisdictional boundaries of another 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 28, 2026, 7:23 p.m.