Triple
T7618743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgetown |
E172430
|
entity |
| Predicate | wasIncorporatedAs |
P13056
|
FINISHED |
| Object | town |
—
|
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: town | Statement: [Georgetown, wasIncorporatedAs, town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasIncorporatedAs Context triple: [Georgetown, wasIncorporatedAs, town]
-
A.
laterIncorporatedInto
Indicates that one entity was subsequently merged into, absorbed by, or formally made part of another entity at a later time.
-
B.
incorporatedAs
chosen
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
-
C.
incorporationAfter
Indicates that one entity is incorporated or formally established at a later time than another entity.
-
D.
incorporatedIntoOnDate
Indicates that one entity was formally incorporated into or merged with another entity on a specific date.
-
E.
incorporatedThrough
Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:55 p.m.