Triple
T16216851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sack of Panama by Henry Morgan |
E393614
|
entity |
| Predicate | hasCommanderNationality |
P10573
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Sack of Panama by Henry Morgan, hasCommanderNationality, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommanderNationality Context triple: [Sack of Panama by Henry Morgan, hasCommanderNationality, English]
-
A.
commanderNationality
chosen
Indicates the national affiliation or citizenship of a given commander.
-
B.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
C.
hasCommander
Indicates that one entity serves as the commanding officer or leader of another entity.
-
D.
hasCrewNationality
Indicates that the members of a crew possess a specified nationality.
-
E.
nationalityOfPersonnel
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f660708190b6581ecfe218a15c |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.