Triple
T34640750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Lands |
E889546
|
entity |
| Predicate | ruinedIn |
P31453
|
FINISHED |
| Object | Second Age |
—
|
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: Second Age | Statement: [Brown Lands, ruinedIn, Second Age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruinedIn Context triple: [Brown Lands, ruinedIn, Second Age]
-
A.
hasRuin
Indicates that one entity possesses, contains, or is associated with a ruin or ruined structure.
-
B.
sufferedDestructionOf
Indicates that one entity experienced damage, ruin, or loss as a result of the destruction of another entity.
-
C.
damagedIn
Indicates that an entity has suffered harm, impairment, or destruction as a result of a specified event, process, or condition.
-
D.
sufferedDestructionIn
chosen
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
E.
destroyedCity
Indicates that an entity has caused the complete or near-complete destruction of a city.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:04 a.m.