Triple
T19444604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandauli |
E486439
|
entity |
| Predicate | districtFormationYear |
P135913
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Chandauli, districtFormationYear, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtFormationYear Context triple: [Chandauli, districtFormationYear, 1997]
-
A.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
B.
boroughCreationYear
Indicates the year in which a borough was officially established or created.
-
C.
coFoundedInYear
Indicates that two or more entities jointly founded something (such as an organization or company) in a specified year.
-
D.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
E.
departmentFormed
Indicates that a specific department has been created or established, often at a particular time or under certain conditions.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338921cc819083f8f918225d78e6 |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.