Triple
T37878140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardiners Island |
E944791
|
entity |
| Predicate | foundedAsManor |
P199778
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Gardiners Island, foundedAsManor, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsManor Context triple: [Gardiners Island, foundedAsManor, 17th century]
-
A.
wasRoyalManor
Indicates that a place or estate functioned as a manor owned or directly controlled by a monarch or royal authority.
-
B.
originalCastleFoundedIn
Indicates the specific year or time period when the original version of a castle was first established or built.
-
C.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
D.
wasFoundedAsTown
Indicates that an entity came into existence specifically with the legal or formal status of a town.
-
E.
hasManorHouse
Indicates that one entity possesses or is associated with a manor house as a property or feature.
- 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_69f76eef55d481908ca6660b4b532550 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
| PDg | Predicate description generation | batch_69ff56edc4d081908f1d263e05cbd512 |
completed | May 9, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:19 p.m.