Triple
T34354186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mímir |
E881669
|
entity |
| Predicate | wellPriceForDrink |
P178906
|
FINISHED |
| Object | Odin’s eye |
—
|
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: Odin’s eye | Statement: [Mímir, wellPriceForDrink, Odin’s eye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wellPriceForDrink Context triple: [Mímir, wellPriceForDrink, Odin’s eye]
-
A.
drinkFamily
Indicates a familial or close relational connection between two entities centered around drinking-related activities or contexts.
-
B.
drinkWindow
Indicates the time period during which a beverage (typically wine) is considered to be at its best for drinking.
-
C.
drinks
Indicates that one entity consumes a liquid substance, typically by ingesting it through the mouth.
-
D.
servedDrink
Indicates that one entity provided or presented a drink to another entity.
-
E.
servesAlcohol
Indicates that an establishment or provider offers and supplies alcoholic beverages to customers or participants.
- 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_69f349bd06008190904c2f86c42749e3 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:58 a.m.