Triple
T34332364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District Collector of Nizamabad |
E881048
|
entity |
| Predicate | roleInLawAndOrder |
P41321
|
FINISHED |
| Object | district magistrate functions |
—
|
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: district magistrate functions | Statement: [District Collector of Nizamabad, roleInLawAndOrder, district magistrate functions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLawAndOrder Context triple: [District Collector of Nizamabad, roleInLawAndOrder, district magistrate functions]
-
A.
legalCaseRole
Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
-
B.
legalSystemRole
chosen
Indicates the specific function, capacity, or position an entity holds within a legal or judicial system.
-
C.
roleInInvestigation
Indicates that an entity holds a specific function, capacity, or responsibility within the context of a particular investigation.
-
D.
legalProfessionRole
Indicates that one entity holds or performs a specific professional role within the legal domain in relation to another entity or context.
-
E.
roleInActs
Indicates the specific function or character that an entity performs or portrays within one or more acts or performances.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00c59b03dc8190870f0dd24603a1ef |
completed | May 10, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_6a00c5178bc88190b2a0e03f38314035 |
completed | May 10, 2026, 5:49 p.m. |
Created at: May 1, 2026, 1:58 a.m.