Triple
T17286562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of the Philippines |
E419668
|
entity |
| Predicate | scriptOnScrollLanguage |
P126814
|
FINISHED |
| Object | Filipino |
—
|
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: Filipino | Statement: [Coat of arms of the Philippines, scriptOnScrollLanguage, Filipino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOnScrollLanguage Context triple: [Coat of arms of the Philippines, scriptOnScrollLanguage, Filipino]
-
A.
scriptOnScroll
Indicates that a script is executed or triggered when a scrolling action occurs.
-
B.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
-
C.
scriptNameLanguage
Indicates that a script’s name is expressed or written in a particular language.
-
D.
scriptUsedForLanguage
Indicates that a particular writing script is employed to write or represent a given language.
-
E.
languageOfScriptPromoted
Indicates that a particular language is associated with and promoted through the use of a given writing script.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4378024988190aac6aec006f8f7a1 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:40 a.m.