Triple
T35607942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayflower Compact |
E1028949
|
entity |
| Predicate | signedOnboard |
P183454
|
FINISHED |
| Object | Mayflower |
—
|
NE NERFINISHED |
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: Mayflower | Statement: [Mayflower Compact, signedOnboard, Mayflower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signedOnboard Context triple: [Mayflower Compact, signedOnboard, Mayflower]
-
A.
signedTo
Indicates that one entity has formally entered into a contract or agreement with another, typically for representation, employment, or services.
-
B.
signedFor
Indicates that one entity formally accepted or acknowledged receipt of something on behalf of another, typically by providing a signature.
-
C.
signedAfter
Indicates that one signing event occurred later in time than another signing event.
-
D.
signedOnCalendar
Indicates that an entity has placed its signature or mark on a specific calendar date or entry.
-
E.
signedDuring
Indicates that an agreement, document, or contract was signed within a specified time period or during a particular event.
- 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_69f76e0653ec81909b1b813c126c6574 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:05 p.m.