Triple
T6932968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panchayat |
E160481
|
entity |
| Predicate | headedAtDistrictLevelBy |
P46190
|
FINISHED |
| Object | President of Zila Parishad |
—
|
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: President of Zila Parishad | Statement: [Panchayat, headedAtDistrictLevelBy, President of Zila Parishad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headedAtDistrictLevelBy Context triple: [Panchayat, headedAtDistrictLevelBy, President of Zila Parishad]
-
A.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
-
B.
headquartersDistrict
Indicates the administrative district or area where an organization’s main headquarters is located.
-
C.
containsDistrictMunicipality
Indicates that an administrative region includes one or more district municipalities within its boundaries.
-
D.
topDistrictPost
chosen
Indicates that an entity holds the highest-ranking or primary official post within a specific administrative district.
-
E.
passesThroughDistrict
Indicates that something (such as a route, boundary, or path) traverses or goes through a particular district.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.