Triple
T8636001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogon |
E204523
|
entity |
| Predicate | granaryType |
P84365
|
FINISHED |
| Object | cylindrical mud granaries |
—
|
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: cylindrical mud granaries | Statement: [Dogon, granaryType, cylindrical mud granaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: granaryType Context triple: [Dogon, granaryType, cylindrical mud granaries]
-
A.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
B.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
-
C.
grainColor
Indicates the color attribute associated with a grain or granular material.
-
D.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
E.
barrelType
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc479284a8819099b0b0d879af3372 |
completed | March 31, 2026, 10:15 p.m. |
Created at: March 30, 2026, 6:27 p.m.