Triple
T9785747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen Americans |
E237486
|
entity |
| Predicate | oftenIdentifyAs |
P21265
|
FINISHED |
| Object | refugees |
—
|
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: refugees | Statement: [Karen Americans, oftenIdentifyAs, refugees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenIdentifyAs Context triple: [Karen Americans, oftenIdentifyAs, refugees]
-
A.
isTraditionallyIdentifiedAs
Indicates that one entity is customarily or historically recognized or labeled as being the same as, or corresponding to, another entity.
-
B.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
selfIdentification
Indicates that an entity defines or declares its own identity, attributes, or classification about itself.
-
D.
hasGenderIdentity
Indicates that an entity identifies with or experiences a particular gender.
-
E.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2107f688190b2cab1509c508319 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.