Triple
T38643758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island Expeditions |
E938665
|
entity |
| Predicate | includesEnemyFaction |
P53524
|
FINISHED |
| Object | pirates |
—
|
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: pirates | Statement: [Island Expeditions, includesEnemyFaction, pirates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesEnemyFaction Context triple: [Island Expeditions, includesEnemyFaction, pirates]
-
A.
hasOpposingFaction
chosen
Indicates that one faction stands in opposition or conflict to another faction.
-
B.
hasCommonEnemies
Indicates that two or more entities share at least one enemy in common.
-
C.
targetsAsRacialEnemy
Indicates that one party identifies and treats another party as an enemy specifically on the basis of their race.
-
D.
hasFriendEnemyRelationshipWith
Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
-
E.
hasFaction
Indicates that an entity is affiliated with, belongs to, or is represented by a particular faction or group.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.