Triple
T21764528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adela Quested |
E537242
|
entity |
| Predicate | perceivedByManyIndiansAs |
P134678
|
FINISHED |
| Object | representative of colonial injustice |
—
|
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: representative of colonial injustice | Statement: [Adela Quested, perceivedByManyIndiansAs, representative of colonial injustice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceivedByManyIndiansAs Context triple: [Adela Quested, perceivedByManyIndiansAs, representative of colonial injustice]
-
A.
culturallyPerceivedAs
chosen
Indicates that one entity is regarded or interpreted in a particular way by a culture or cultural group.
-
B.
viewsIndiaAs
Indicates perceiving or regarding India in a particular way, such as holding a specific opinion, attitude, or characterization about India.
-
C.
introducedToIndiaBy
Indicates that something was brought or made known to India by a particular agent, source, or intermediary.
-
D.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
E.
viewedAsByMuslims
Indicates that something is regarded or perceived in a particular way specifically by Muslims.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.