Triple
T24978678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington |
E625100
|
entity |
| Predicate | oversawWinterEncampment |
P158153
|
FINISHED |
| Object | Valley Forge |
E2179
|
NE 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: Valley Forge | Statement: [George Washington, oversawWinterEncampment, Valley Forge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversawWinterEncampment Context triple: [George Washington, oversawWinterEncampment, Valley Forge]
-
A.
secondMajorEncampmentWinter
Indicates that the entity represents the location or event of a group's second major encampment during a winter season.
-
B.
firstMajorEncampmentWinter
Indicates that the entity represents the location or event of the first major encampment during a winter season.
-
C.
winterPersonnel
Indicates that a person serves in a role or assignment specifically during the winter season.
-
D.
overwinteringSeason
Indicates the period during which an organism remains dormant or survives through winter conditions.
-
E.
openedAsWinterland
Indicates that one entity was opened or inaugurated under the name "Winterland" (i.e., it began operation as Winterland).
- F. None of above. chosen
Provenance (5 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_69e2ff254570819093d197b1900305ac |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10335f95cc81908c36e4841a10e0e7 |
completed | May 22, 2026, 10:43 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 6:02 a.m.