Triple
T15804609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of Arms of Singapore |
E383177
|
entity |
| Predicate | featuresCompartment |
P3722
|
FINISHED |
| Object | banner with motto |
—
|
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: banner with motto | Statement: [Coat of Arms of Singapore, featuresCompartment, banner with motto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCompartment Context triple: [Coat of Arms of Singapore, featuresCompartment, banner with motto]
-
A.
compartment
chosen
Indicates that one entity is a distinct, enclosed or functionally separated part or section within another entity.
-
B.
compartmentDepicts
Indicates that a specific compartment or section visually represents or portrays a particular subject or entity.
-
C.
featuresCompositionBy
Indicates that something includes or presents a composition created by a particular composer or creator.
-
D.
chamberType
Indicates the specific kind or category of chamber associated with an entity (e.g., room, compartment, or enclosed space type).
-
E.
typeOfChamber
Indicates the specific kind or category of chamber that an entity belongs to or is classified as.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.