Triple
T21080223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tollund Man |
E519343
|
entity |
| Predicate | clothingStatus |
P42160
|
FINISHED |
| Object | otherwise naked |
—
|
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: otherwise naked | Statement: [Tollund Man, clothingStatus, otherwise naked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clothingStatus Context triple: [Tollund Man, clothingStatus, otherwise naked]
-
A.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
B.
hasGarment
chosen
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
C.
colorOfApparel
Indicates the specific color attribute associated with a piece of apparel or clothing item.
-
D.
coatCharacteristic
Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
-
E.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
- 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_69e0b506e59c8190849b71ed07929215 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e702da7be881908e430518103d7bb1 |
completed | April 21, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:49 p.m.