Triple
T32598843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manti |
E833307
|
entity |
| Predicate | typicallyFilledWith |
P13702
|
FINISHED |
| Object | spiced minced lamb |
—
|
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: spiced minced lamb | Statement: [Manti, typicallyFilledWith, spiced minced lamb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyFilledWith Context triple: [Manti, typicallyFilledWith, spiced minced lamb]
-
A.
isTypicallyFilledWith
chosen
Indicates that one entity is commonly or usually occupied, loaded, or contained by another entity.
-
B.
mayBeFilledBy
Indicates that one entity has the potential or permission to be occupied, completed, or satisfied by another entity.
-
C.
hasFillingCharacteristic
Indicates that something possesses a particular quality, property, or attribute related to its filling.
-
D.
hasFillingType
Indicates that an entity is associated with a specific type or category of filling it contains or uses.
-
E.
hasFillingSystem
Indicates that an entity is equipped with or uses a particular filling system or mechanism.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:05 a.m.