Triple
T2954022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden of Remembrance (Lockerbie) |
E79887
|
entity |
| Predicate | hasVictimNationalityScope |
P18680
|
FINISHED |
| Object | international |
—
|
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: international | Statement: [Garden of Remembrance (Lockerbie), hasVictimNationalityScope, international]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVictimNationalityScope Context triple: [Garden of Remembrance (Lockerbie), hasVictimNationalityScope, international]
-
A.
hasVictimNationalities
Indicates that an event, incident, or action involved victims belonging to one or more specified nationalities.
-
B.
appliesToPersonNationality
chosen
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
C.
defendantsNationality
Indicates that the specified nationality is attributed to the defendants in a legal case.
-
D.
perpetratorNationality
Indicates the country or nationality to which a perpetrator of an act, crime, or harmful event belongs.
-
E.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.