Triple
T347239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morristown encampments |
E6967
|
entity |
| Predicate | firstMajorEncampmentWinter |
P12647
|
FINISHED |
| Object | 1777 |
—
|
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: 1777 | Statement: [Morristown encampments, firstMajorEncampmentWinter, 1777]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorEncampmentWinter Context triple: [Morristown encampments, firstMajorEncampmentWinter, 1777]
-
A.
encirclementOperation
Indicates a military action in which forces maneuver to surround an opposing force, cutting off its escape routes and lines of support.
-
B.
invasionDate
Indicates the date on which an invasion event occurred or began.
-
C.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
-
D.
firstMajorRallyYear
Indicates the calendar year in which an entity held its first significant rally or major organized gathering.
-
E.
conquestEvent
Indicates an event in which one party gains control over another entity or territory through force or domination.
- F. None of above. chosen
Provenance (4 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eae0bd7081908197bbf5c55fe647 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.