Triple
T12939733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dromon |
E309605
|
entity |
| Predicate | typicalRigging |
P22490
|
FINISHED |
| Object | lateen sail |
—
|
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: lateen sail | Statement: [dromon, typicalRigging, lateen sail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRigging Context triple: [dromon, typicalRigging, lateen sail]
-
A.
rigging
Indicates the act of manipulating or tampering with a process, system, or outcome to unfairly influence the result.
-
B.
typeOfRigging
chosen
Indicates the kind or configuration of rigging used in relation to an object or structure.
-
C.
typeOfRig
Indicates the specific kind or configuration of rig used or associated with an entity.
-
D.
typicalCasting
Indicates that one entity is the usual or standard casting choice for portraying another entity (such as a role, character, or type).
-
E.
typicalRegister
Indicates the usual or most common linguistic register (e.g., formal, informal, technical) in which something—such as a word, expression, or communication—is typically used.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.