Triple
T23853827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triangle Waist Company |
E592247
|
entity |
| Predicate | majorityWorkforce |
P21204
|
FINISHED |
| Object | young immigrant women |
—
|
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: young immigrant women | Statement: [Triangle Waist Company, majorityWorkforce, young immigrant women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityWorkforce Context triple: [Triangle Waist Company, majorityWorkforce, young immigrant women]
-
A.
minorityMajority
Indicates that one group constitutes a numerical or power minority within a context while another group constitutes the corresponding majority.
-
B.
demographicMajority
chosen
Indicates that one group constitutes more than half of the population within a specified context or area.
-
C.
dominantOccupation
Indicates the primary type of work or profession that most characterizes an entity’s economic or labor activity.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
E.
latestMajorOccupation
Indicates the most recent primary job or profession held by an entity.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98954748190b39e0ac69e5625f9 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.