Triple
T572267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgartown, Massachusetts |
E13687
|
entity |
| Predicate | incorporatedInYear |
P12896
|
FINISHED |
| Object | 1671 |
—
|
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: 1671 | Statement: [Edgartown, Massachusetts, incorporatedInYear, 1671]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedInYear Context triple: [Edgartown, Massachusetts, incorporatedInYear, 1671]
-
A.
incorporationYear
chosen
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
-
B.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
C.
formedInYear
Indicates the year in which an entity was originally established, created, or came into existence.
-
D.
cameIntoForceInYear
Indicates that a law, agreement, or formal measure became legally effective or operational in a specified calendar year.
-
E.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b49bad88190bc73d31a317c0ef4 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.