Triple
T29384674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Niger |
E745218
|
entity |
| Predicate | militarySymbol |
P129524
|
FINISHED |
| Object | traditional Tuareg swords |
—
|
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: traditional Tuareg swords | Statement: [coat of arms of Niger, militarySymbol, traditional Tuareg swords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militarySymbol Context triple: [coat of arms of Niger, militarySymbol, traditional Tuareg swords]
-
A.
corpsInsignia
Indicates that one entity serves as the official emblem, badge, or insignia representing a particular corps or military branch associated with another entity.
-
B.
regimentalColourSymbol
chosen
Indicates that something serves as the symbolic emblem or design used on a regiment’s official flag or standard.
-
C.
militaryRepresentationShare
Indicates the proportion of military representation one entity holds or provides in relation to another or within a larger collective.
-
D.
wearsInsigniaAt
Indicates that an entity is wearing or displaying a particular insignia at a specified location or point in time.
-
E.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 2:37 p.m.