Triple
T6075717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peabody Essex Museum |
E135394
|
entity |
| Predicate | YinYuTangHouseType |
P68511
|
FINISHED |
| Object | Qing dynasty Chinese merchant’s house |
—
|
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: Qing dynasty Chinese merchant’s house | Statement: [Peabody Essex Museum, YinYuTangHouseType, Qing dynasty Chinese merchant’s house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: YinYuTangHouseType Context triple: [Peabody Essex Museum, YinYuTangHouseType, Qing dynasty Chinese merchant’s house]
-
A.
housesCollection
Indicates that one entity serves as a container or repository that holds or stores a collection of other entities.
-
B.
containsPoemsBy
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
C.
readPoemAt
Indicates that an entity reads or performs a poem at a specific time, place, or event.
-
D.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
E.
home venue type
Indicates the kind or category of place that serves as the primary location where an entity regularly hosts its events or activities.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575ec63081908a868a41855acf73 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:11 p.m.