Triple
T15342226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Papua New Guinea |
E366822
|
entity |
| Predicate | spearType |
P118195
|
FINISHED |
| Object | traditional ceremonial spear |
—
|
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 ceremonial spear | Statement: [Coat of arms of Papua New Guinea, spearType, traditional ceremonial spear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spearType Context triple: [Coat of arms of Papua New Guinea, spearType, traditional ceremonial spear]
-
A.
spurType
Indicates the specific kind or category of spur associated with or used by an entity.
-
B.
bladeType
Indicates the specific kind or category of blade associated with an object or entity.
-
C.
spearMeaning
Indicates that one entity serves as the definition, explanation, or semantic content of the concept of a spear for another entity or context.
-
D.
typicalWeapon
Indicates that the object is a weapon commonly or characteristically used by the subject.
-
E.
knifeName
Indicates that a particular name is assigned to or used for a given knife.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e14d8088190876fceca75d12322 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:17 a.m.