Triple
T5320086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSMonitor |
E121649
|
entity |
| Predicate | formerMedium |
P63468
|
FINISHED |
| Object | daily print newspaper |
—
|
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: daily print newspaper | Statement: [CSMonitor, formerMedium, daily print newspaper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMedium Context triple: [CSMonitor, formerMedium, daily print newspaper]
-
A.
formerGround
Indicates that an entity previously served as the ground or base for another entity but no longer holds that role.
-
B.
formerMarket
Indicates that an entity previously functioned as a market but no longer serves that role.
-
C.
formerUser
Indicates that an entity was previously a user of another entity or system but is no longer one.
-
D.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
-
E.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd86f0cbfc8190b6665dd9b28d6345 |
completed | March 20, 2026, 5:42 p.m. |
Created at: March 20, 2026, 1:59 p.m.