Triple
T38448566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durin I |
E906704
|
entity |
| Predicate | awakenedAt |
P190761
|
FINISHED |
| Object | Mount Gundabad (according to some traditions) |
—
|
NE NERFINISHED |
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: Mount Gundabad (according to some traditions) | Statement: [Durin I, awakenedAt, Mount Gundabad (according to some traditions)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awakenedAt Context triple: [Durin I, awakenedAt, Mount Gundabad (according to some traditions)]
-
A.
awakensBy
Indicates that one entity causes another entity to wake up from sleep or inactivity.
-
B.
awakensIn
Indicates that one entity comes out of sleep or becomes conscious while located within or inside another entity.
-
C.
awakensAfter
Indicates that one entity wakes up at a time that is later than the waking time of another entity.
-
D.
awakensBefore
Indicates that one entity wakes up earlier in time than another entity.
-
E.
awakeningEvent
Indicates an event in which an entity transitions from a state of sleep, inactivity, or unawareness to a state of wakefulness, activity, or awareness.
- F. None of above. chosen
Provenance (4 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcce7a25848190bdc66efcbc7cae3a |
completed | May 7, 2026, 5:40 p.m. |
Created at: May 3, 2026, 4:31 p.m.