Triple
T27228102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uttarakhand Vidhan Sabha building, Dehradun |
E682071
|
entity |
| Predicate | associatedWithOffice |
P1268
|
FINISHED |
| Object |
Speaker of Uttarakhand Legislative Assembly
The Speaker of the Uttarakhand Legislative Assembly is the presiding officer and head of the state’s unicameral legislature, responsible for conducting its proceedings and maintaining order and decorum in the house.
|
E1759477
|
NE 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 of Uttarakhand Legislative Assembly | Statement: [Uttarakhand Vidhan Sabha building, Dehradun, associatedWithOffice, Speaker of Uttarakhand Legislative Assembly]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Speaker of Uttarakhand Legislative Assembly Triple: [Uttarakhand Vidhan Sabha building, Dehradun, associatedWithOffice, Speaker of Uttarakhand Legislative Assembly]
Generated description
The Speaker of the Uttarakhand Legislative Assembly is the presiding officer and head of the state’s unicameral legislature, responsible for conducting its proceedings and maintaining order and decorum in the house.
Provenance (5 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6264bcdc08190b0860b3015aac6c6 |
completed | May 2, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1253b317508190866d7c99a4936046 |
completed | May 24, 2026, 1:26 a.m. |
| NEDg | Description generation | batch_6a1254e8f94881908407699a6fb433b9 |
completed | May 24, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a125570e034819080d1b31fe17df8ba |
completed | May 24, 2026, 1:33 a.m. |
Created at: April 27, 2026, 9:45 a.m.