Triple
T12749146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Mrauk U |
E304684
|
entity |
| Predicate | hadAlly |
P88141
|
FINISHED |
| Object | Portuguese corsairs (various periods) |
—
|
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: Portuguese corsairs (various periods) | Statement: [Kingdom of Mrauk U, hadAlly, Portuguese corsairs (various periods)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadAlly Context triple: [Kingdom of Mrauk U, hadAlly, Portuguese corsairs (various periods)]
-
A.
formerAllyOf
Indicates that an entity was once an ally of another entity but that alliance has since ended.
-
B.
wasAssistedBy
Indicates that an entity carried out an action or achieved a result with the help or support of another entity.
-
C.
enemyTurnedAlly
Indicates that an entity that was previously an enemy has changed sides and is now acting as an ally.
-
D.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
E.
sometimesAllyOf
chosen
Indicates that one entity is an ally of another in some situations or periods, but not consistently or universally.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.