Triple
T5225411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burlington, Province of New Jersey |
E117972
|
entity |
| Predicate | capitalStatusEnded |
P49654
|
FINISHED |
| Object | 1776 |
—
|
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: 1776 | Statement: [Burlington, Province of New Jersey, capitalStatusEnded, 1776]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalStatusEnded Context triple: [Burlington, Province of New Jersey, capitalStatusEnded, 1776]
-
A.
capitalStatusStart
Indicates the point in time when a place first acquires its status as a capital.
-
B.
stoppedAt
Indicates that an entity has come to a halt or pause at a specific location or point in time.
-
C.
ceasedActivityUnder
Indicates that an entity stopped performing a particular activity while under the authority, influence, or conditions imposed by another entity.
-
D.
demiseOfStatus
chosen
Indicates the ending or loss of a previously held status, role, or condition for an entity.
-
E.
losingState
Indicates that a particular game or competitive situation is in a condition where the player or side in question is currently losing or destined to lose under optimal play.
- 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_69bd4465e03081909bfcfd7113062590 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.