Triple
T15491124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grã-Cruz da Ordem Militar da Torre e Espada |
E378686
|
entity |
| Predicate | wearingInsignia |
P9510
|
FINISHED |
| Object | banda e placa de peito |
—
|
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: banda e placa de peito | Statement: [Grã-Cruz da Ordem Militar da Torre e Espada, wearingInsignia, banda e placa de peito]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearingInsignia Context triple: [Grã-Cruz da Ordem Militar da Torre e Espada, wearingInsignia, banda e placa de peito]
-
A.
wearsInsigniaAt
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
B.
rankInsigniaWornOn
Indicates the physical location on a uniform or body where a rank insignia is displayed or attached.
-
C.
hasInsigniaWornBy
chosen
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
D.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
E.
wearsOnUniform
Indicates that an item is part of and is worn as a component of a uniform.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:48 a.m.