Triple
T6734845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narsinghpur |
E153726
|
entity |
| Predicate | districtHeadquartersSince |
P72646
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Narsinghpur, districtHeadquartersSince, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtHeadquartersSince Context triple: [Narsinghpur, districtHeadquartersSince, 19th century]
-
A.
headquartersMunicipality
Indicates the municipality in which an organization’s main administrative headquarters is located.
-
B.
countySeat
Indicates that one place serves as the administrative center or capital of a county.
-
C.
countySeatLocatedAt
Indicates that a county’s administrative center or capital is located at a specific place or settlement.
-
D.
nearestCountySeat
Indicates that one location is the closest county seat geographically to another location.
-
E.
capitalCityHeadquarters
Indicates that the headquarters of an organization or entity is located in the capital city of a specified region or country.
- F. None of above. chosen
Provenance (4 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d14e18d481908aaac34897c650f1 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:09 p.m.