Triple
T1560028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brunswick Town |
E33297
|
entity |
| Predicate | largelyAbandonedBy |
P28740
|
FINISHED |
| Object | late 18th century |
—
|
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: late 18th century | Statement: [Brunswick Town, largelyAbandonedBy, late 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largelyAbandonedBy Context triple: [Brunswick Town, largelyAbandonedBy, late 18th century]
-
A.
abandonedBy
chosen
Indicates that one entity has been deserted, forsaken, or left behind by another entity that was previously present, responsible, or involved.
-
B.
abandonedIn
Indicates that one entity was left behind or deserted in the location or context specified by another entity.
-
C.
abandonedReason
Indicates the reason or cause for which something was abandoned, discontinued, or given up.
-
D.
decliningAs
Indicates that one entity is decreasing in value, intensity, or importance relative to another over time.
-
E.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9407d9d1481909597af97b16512cc |
completed | March 5, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69a907b688d081908171f89010c53973 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:27 p.m.