Triple
T2895685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lowland |
E63933
|
entity |
| Predicate | hasAwardStatus |
P323
|
FINISHED |
| Object | critically acclaimed |
—
|
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: critically acclaimed | Statement: [The Lowland, hasAwardStatus, critically acclaimed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardStatus Context triple: [The Lowland, hasAwardStatus, critically acclaimed]
-
A.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
B.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
C.
hasAwardLevel
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
D.
awardStatus
chosen
Indicates the current state or outcome of an award in relation to an entity, such as whether it has been granted, pending, rejected, or completed.
-
E.
hasAwardItem
Indicates that an entity possesses, is associated with, or has been granted a specific award item.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe06509808190b673222b9ae3d599 |
completed | March 7, 2026, 8:23 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:08 p.m.