Triple
T9359821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Salem, Massachusetts |
E225248
|
entity |
| Predicate | 20thCenturyTrend |
P64582
|
FINISHED |
| Object | decline of traditional manufacturing |
—
|
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: decline of traditional manufacturing | Statement: [History of Salem, Massachusetts, 20thCenturyTrend, decline of traditional manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 20thCenturyTrend Context triple: [History of Salem, Massachusetts, 20thCenturyTrend, decline of traditional manufacturing]
-
A.
functionDuring20thCentury
Indicates that the function, role, or operation of one entity with respect to another occurred at some time during the 20th century.
-
B.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
C.
collectionEndCentury
Indicates the century in which a collection or collecting activity came to an end.
-
D.
statusIn20thCentury
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
E.
t20iCenturies
chosen
Indicates that something is associated with, occurs in, or spans the 20th century.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff2ca9081908ccc88651640ed84 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.