Triple
T170122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gettysburg, Pennsylvania |
E3101
|
entity |
| Predicate | incorporatedAsBoroughIn |
P2381
|
FINISHED |
| Object | 1806 |
—
|
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: 1806 | Statement: [Gettysburg, Pennsylvania, incorporatedAsBoroughIn, 1806]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedAsBoroughIn Context triple: [Gettysburg, Pennsylvania, incorporatedAsBoroughIn, 1806]
-
A.
incorporatedAsBorough
chosen
Indicates that an entity was formally established and granted legal status as a borough.
-
B.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
C.
incorporatedAsCity
Indicates that an entity was formally established and legally recognized as a city.
-
D.
incorporatedAsTownIn
Indicates that an entity was officially established and given legal status as a town within a specified jurisdiction.
-
E.
numberOfBoroughs
Indicates the total count of boroughs associated with a given 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_69a2524ce1e48190ab066bf72859f474 |
completed | Feb. 28, 2026, 2:26 a.m. |
| NER | Named-entity recognition | batch_69a25a3f9d188190aacf5791273e2c65 |
completed | Feb. 28, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69a25667717c8190bac5108366e2178d |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:34 a.m.