Triple
T25375946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hindu |
E633055
|
entity |
| Predicate | becameDailyNewspaper |
P158250
|
FINISHED |
| Object | 1889 |
—
|
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: 1889 | Statement: [The Hindu, becameDailyNewspaper, 1889]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becameDailyNewspaper Context triple: [The Hindu, becameDailyNewspaper, 1889]
-
A.
becameFreeNewspaper
Indicates that an entity transitioned from a paid or different status to being distributed as a free newspaper.
-
B.
ceasedDailyPrintEdition
Indicates that an entity has stopped producing its print edition on a daily basis.
-
C.
newspaperFounded
Indicates that a particular newspaper was established or began publication at a specific time or by a specific founder.
-
D.
ceasedPublicationAsStandaloneDaily
Indicates that an entity stopped being published as an independent daily edition.
-
E.
newspaperFoundedYear
Indicates the year in which a newspaper was originally established or founded.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e5ae40481908d6273694d92e0b1 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:38 p.m.