Triple
T38433872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vạn Phúc |
E903880
|
entity |
| Predicate | hasHistoryCharacteristic |
P86463
|
FINISHED |
| Object | long-standing textile craftsmanship |
—
|
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: long-standing textile craftsmanship | Statement: [Vạn Phúc, hasHistoryCharacteristic, long-standing textile craftsmanship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoryCharacteristic Context triple: [Vạn Phúc, hasHistoryCharacteristic, long-standing textile craftsmanship]
-
A.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
B.
hasHistoricFeatures
chosen
Indicates that something possesses characteristics, elements, or attributes of historical significance.
-
C.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
D.
hasHistoryWith
Indicates that there is a prior relationship, interaction, or shared past between the entities.
-
E.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: May 3, 2026, 4:31 p.m.