Triple
T734135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newburgh, New York |
E14893
|
entity |
| Predicate | foundedAsVillage |
P364
|
FINISHED |
| Object | early 19th 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: early 19th century | Statement: [Newburgh, New York, foundedAsVillage, early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsVillage Context triple: [Newburgh, New York, foundedAsVillage, early 19th century]
-
A.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
B.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
C.
placeFounded
Indicates the location where an entity (such as an organization or institution) was originally established or founded.
-
D.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
E.
capitalVillage
Indicates that a village serves as the administrative or political capital of a specified region or 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.