Triple
T36120389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagoda |
E1044725
|
entity |
| Predicate | roofNicknameOrigin |
P184709
|
FINISHED |
| Object | resembles East Asian pagoda temple roofs |
—
|
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: resembles East Asian pagoda temple roofs | Statement: [Pagoda, roofNicknameOrigin, resembles East Asian pagoda temple roofs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofNicknameOrigin Context triple: [Pagoda, roofNicknameOrigin, resembles East Asian pagoda temple roofs]
-
A.
roofName
Indicates that a specific name or designation is assigned to a roof.
-
B.
roofPaintingsName
Indicates the naming or designation assigned to specific roof paintings.
-
C.
squareNamedAfter
Indicates that a public square is named in honor of, or derived its name from, a particular person, place, event, or entity.
-
D.
houseNickname
Indicates that an entity has an informal or alternative name used as a nickname for a house or dwelling.
-
E.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.