Triple
T25226330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinnah Mausoleum |
E632095
|
entity |
| Predicate | notableChandelierFrom |
P183086
|
FINISHED |
| Object | People's Republic of China |
—
|
NE NERFINISHED |
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: People's Republic of China | Statement: [Jinnah Mausoleum, notableChandelierFrom, People's Republic of China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableChandelierFrom Context triple: [Jinnah Mausoleum, notableChandelierFrom, People's Republic of China]
-
A.
numberOfChandeliers
Indicates the quantity of chandeliers associated with a given entity or context.
-
B.
notableDecoration
Indicates that an entity has received a particular honor, award, or decoration that is considered especially significant or distinguished.
-
C.
notableArtObject
Indicates a relationship where an entity is recognized as an art object of particular significance, prominence, or cultural importance in connection to another entity.
-
D.
notableSceneProp
Indicates that an object or element serves as a significant or prominently featured prop within a particular scene.
-
E.
notableOrnamental
Indicates that something is recognized as a particularly significant or distinguished example of ornamental decoration or design.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 21, 2026, 1:03 p.m.