Triple
T2531714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samoset |
E56173
|
entity |
| Predicate | greetedWithWords |
P5241
|
FINISHED |
| Object | Welcome, Englishmen |
—
|
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: Welcome, Englishmen | Statement: [Samoset, greetedWithWords, Welcome, Englishmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greetedWithWords Context triple: [Samoset, greetedWithWords, Welcome, Englishmen]
-
A.
typicalGreeting
Indicates the standard or commonly used way one entity greets another in a given context.
-
B.
hasWordForHello
chosen
Indicates that a language or entity possesses a specific word or expression used to say "hello" or greet.
-
C.
translationOfOpeningWords
Indicates that one text is a translation of the initial words or opening phrase of another text.
-
D.
hasPolitePronoun
Indicates that one entity refers to another using a polite or honorific form of address in language.
-
E.
addressedBy
Indicates that something (such as an issue, request, or item) is handled, dealt with, or responded to by a particular agent or entity.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2781700819091ffc32244d9efe2 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.