Triple
T88168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayflower Compact |
E1771
|
entity |
| Predicate | originalTextStatus |
P4091
|
FINISHED |
| Object | original manuscript lost |
—
|
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: original manuscript lost | Statement: [Mayflower Compact, originalTextStatus, original manuscript lost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalTextStatus Context triple: [Mayflower Compact, originalTextStatus, original manuscript lost]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
C.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
D.
originalDestination
Indicates the initial or intended destination associated with an entity before any changes, rerouting, or redirection occur.
-
E.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2503d304c8190a0034ffa4a38a501 |
completed | Feb. 28, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_69a24eb6da2c8190a33d144d219f7abe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a2503c12808190a3cbb7b171f466f0 |
completed | Feb. 28, 2026, 2:17 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.