Triple
T18279268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brass City |
E437820
|
entity |
| Predicate | exportSpecialization |
P131147
|
FINISHED |
| Object | brass handicrafts |
—
|
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: brass handicrafts | Statement: [Brass City, exportSpecialization, brass handicrafts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportSpecialization Context triple: [Brass City, exportSpecialization, brass handicrafts]
-
A.
branchSpecialization
Indicates that one branch or subdivision is specialized or focused in a particular area, function, or domain relative to others.
-
B.
laterSpecialization
Indicates that one entity becomes a more specialized or refined version of another entity at a later point in time.
-
C.
allowsSpecializationIn
Indicates that one entity grants permission or provides the option for another entity to pursue a specific specialization within it.
-
D.
isSpecializedFor
Indicates that one entity is specifically adapted, designed, or focused to perform optimally for a particular function, context, or domain associated with another entity.
-
E.
portrayedAsSpecialization
Indicates that one entity is depicted or represented as a specialized or more specific version of another entity.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50054d1dc8190b31d02f617256e9d |
completed | April 19, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69e44fd81c788190b08c6be3b07a08c5 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:34 a.m.