Triple
T37142385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himlad |
E920148
|
entity |
| Predicate | timeOfFall |
P196304
|
FINISHED |
| Object | after the Dagor Bragollach |
—
|
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: after the Dagor Bragollach | Statement: [Himlad, timeOfFall, after the Dagor Bragollach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFall Context triple: [Himlad, timeOfFall, after the Dagor Bragollach]
-
A.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
B.
freeFallTimeFromTop
Indicates the duration an object would spend falling freely from the top point to a lower reference point under gravity, ignoring other forces.
-
C.
predictedToFallBy
Indicates that one entity is expected or forecasted to decrease in value, amount, or level by a specified amount or percentage.
-
D.
eventuallyFellAfter
Indicates that one event or state occurred at some point in time after another event or state, emphasizing that the later occurrence was not immediate but happened eventually.
-
E.
fallType
Indicates the specific kind or category of fall that occurred in a falling event.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4:15 p.m.