Triple
T29810101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hill Palace Museum |
E756933
|
entity |
| Predicate | hasEthnographicSection |
P177342
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hill Palace Museum, hasEthnographicSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnographicSection Context triple: [Hill Palace Museum, hasEthnographicSection, true]
-
A.
hasEthnographicContext
Indicates that something is associated with, or situated within, a particular ethnographic setting, culture, or sociocultural context.
-
B.
hasEthnographicSource
Indicates that there exists an ethnographic source (such as a study, report, or fieldwork documentation) that provides evidence or contextual information for the subject entity.
-
C.
hasEthnographicStatus
Indicates that an entity is associated with a particular ethnographic classification, status, or role within a cultural or social context.
-
D.
hasEthnographicApproach
Indicates that an entity employs or is characterized by an ethnographic research or analytical approach in its study or practice.
-
E.
hasNotableEthnographyBy
Indicates that an entity is the subject of a notable ethnographic study created by a specified author or researcher.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 29, 2026, 5:23 p.m.