Triple
T34733410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Min Razagyi |
E1001273
|
entity |
| Predicate | builtUp |
P173804
|
FINISHED |
| Object | Arakanese navy |
—
|
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: Arakanese navy | Statement: [Min Razagyi, builtUp, Arakanese navy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtUp Context triple: [Min Razagyi, builtUp, Arakanese navy]
-
A.
builtUpBy
chosen
Indicates that something has been constructed, developed, or formed through the actions or contributions of a specified agent or process.
-
B.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
C.
builtNear
Indicates that one entity was constructed at a location geographically close to another entity.
-
D.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
-
E.
builtInThe
Indicates that something was constructed or created within a specified location, structure, or context.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.