Triple
T32582742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order of Leopold |
E832832
|
entity |
| Predicate | hasSashWornFrom |
P181779
|
FINISHED |
| Object | right shoulder to left hip |
—
|
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: right shoulder to left hip | Statement: [Grand Cross of the Order of Leopold, hasSashWornFrom, right shoulder to left hip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSashWornFrom Context triple: [Grand Cross of the Order of Leopold, hasSashWornFrom, right shoulder to left hip]
-
A.
isWornBefore
Indicates that one item of clothing or accessory is put on earlier in time than another item.
-
B.
hasScar
Indicates that one entity bears or possesses a scar on its body.
-
C.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
D.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
E.
isWornAfter
Indicates that one item of clothing or accessory is put on later in time than another item.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 1, 2026, 1:04 a.m.