Triple
T27217372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Express Newspapers |
E681174
|
entity |
| Predicate | hasFlagshipPublication |
P80
|
FINISHED |
| Object | Daily Express |
—
|
NE NERFINISHED |
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 Express | Statement: [Express Newspapers, hasFlagshipPublication, Daily Express]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagshipPublication Context triple: [Express Newspapers, hasFlagshipPublication, Daily Express]
-
A.
hasFlagshipIn
Indicates that an entity designates a particular location or branch as its primary or flagship presence.
-
B.
hasPublication
chosen
Indicates that an entity is associated with or responsible for a specific publication.
-
C.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
D.
isFlagshipJournalOf
Indicates that a particular journal serves as the primary or leading publication associated with a specific organization, field, or publisher.
-
E.
hasSisterPublication
Indicates that one publication is related to another as a sister publication, typically under the same parent organization or closely associated in scope or branding.
- 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 9:41 a.m.