Triple
T5739312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Forest Service Examination |
E126574
|
entity |
| Predicate | mainsPaperType |
P65560
|
FINISHED |
| Object | written descriptive |
—
|
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: written descriptive | Statement: [Indian Forest Service Examination, mainsPaperType, written descriptive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainsPaperType Context triple: [Indian Forest Service Examination, mainsPaperType, written descriptive]
-
A.
manuscriptType
Indicates the specific category or kind of manuscript associated with an entity (e.g., draft, final version, annotated copy).
-
B.
manuscriptMedium
Indicates the material or physical medium on which a manuscript is written or produced.
-
C.
magazineType
Indicates the specific category or genre to which a magazine belongs.
-
D.
hasNewspaperType
Indicates that an entity is associated with or classified by a particular type or category of newspaper.
-
E.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:48 p.m.