Triple
T16831755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Guatemala |
E409166
|
entity |
| Predicate | swordsRepresent |
P125020
|
FINISHED |
| Object | honor |
—
|
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: honor | Statement: [Coat of arms of Guatemala, swordsRepresent, honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swordsRepresent Context triple: [Coat of arms of Guatemala, swordsRepresent, honor]
-
A.
swordsFeature
Indicates that something includes or prominently presents swords as a notable element or characteristic.
-
B.
swornSword
Indicates a formal oath of loyalty in which one entity pledges to serve and protect another as their sworn sword.
-
C.
spearsRepresent
Indicates that one or more spears serve as a symbol, depiction, or emblem representing a particular entity, concept, or group.
-
D.
tinctureOfSword
Indicates that something is a medicinal or alchemical tincture prepared from, associated with, or derived from a sword.
-
E.
weaponInLegend
Indicates that a particular weapon is featured or plays a role within a specific legend or mythological narrative.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b317af8c8190a09cb6d60d28e342 |
completed | April 18, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e34fb7c8c8819086975b7955b7d8ef |
completed | April 18, 2026, 9:32 a.m. |
Created at: April 10, 2026, 5:23 a.m.