Triple
T16831731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the President of Guatemala |
E409165
|
entity |
| Predicate | scriptUsedOnInscription |
P22774
|
FINISHED |
| Object | Latin script |
—
|
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: Latin script | Statement: [Flag of the President of Guatemala, scriptUsedOnInscription, Latin script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptUsedOnInscription Context triple: [Flag of the President of Guatemala, scriptUsedOnInscription, Latin script]
-
A.
scriptOfInscription
chosen
Indicates the writing system or script in which a given inscription is written.
-
B.
scriptUsedOnCoins
Indicates that a particular writing system or script is used on the inscriptions appearing on coins.
-
C.
inscriptionUsedWith
Indicates that a particular inscription is employed together with, or in association with, another object, tool, or context in which it is applied or interpreted.
-
D.
usedScriptOnStamps
Indicates that a particular writing system or script was employed on the text or inscriptions appearing on stamps.
-
E.
scriptOnSeal
Indicates that written characters or inscriptions are present on the surface of a seal.
- 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_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. |
Created at: April 10, 2026, 5:23 a.m.