Triple
T36416063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | collar of the Order of the Seraphim |
E897005
|
entity |
| Predicate | hasInsigniaRank |
P176506
|
FINISHED |
| Object | collar (highest class insignia of the order) |
—
|
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: collar (highest class insignia of the order) | Statement: [collar of the Order of the Seraphim, hasInsigniaRank, collar (highest class insignia of the order)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInsigniaRank Context triple: [collar of the Order of the Seraphim, hasInsigniaRank, collar (highest class insignia of the order)]
-
A.
isHighestRankInsigniaOf
chosen
Indicates that one insignia represents the highest possible rank within a specified organization, hierarchy, or context.
-
B.
hasInsigniaOn
Indicates that one entity bears or displays the insignia, emblem, or symbol of another entity on its surface or body.
-
C.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
D.
rankInsigniaWornOn
Indicates the physical location on a uniform or body where a rank insignia is displayed or attached.
-
E.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00af6b3a948190a92813c13384c304 |
completed | May 10, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_6a00aec35610819085dd5137715a4228 |
completed | May 10, 2026, 4:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.