Triple
T11048372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minas Morgul |
E261184
|
entity |
| Predicate | destroyedInFictionalEvent |
P11808
|
FINISHED |
| Object | the downfall of Sauron |
—
|
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: the downfall of Sauron | Statement: [Minas Morgul, destroyedInFictionalEvent, the downfall of Sauron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: destroyedInFictionalEvent Context triple: [Minas Morgul, destroyedInFictionalEvent, the downfall of Sauron]
-
A.
locationOfDestruction
Indicates the place where a destruction event occurred or where something was destroyed.
-
B.
destroyedDuring
chosen
Indicates that one entity was destroyed in the course of, or as a consequence of, a specified event or time period.
-
C.
destroyedFor
Indicates that one entity was ruined, eliminated, or rendered unusable specifically for the benefit, purpose, or objective of another entity.
-
D.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
-
E.
hasCauseOfDestruction
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79867fa28819094f564273e3ef51d |
completed | April 9, 2026, 12:15 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.