Triple
T19066177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Taiwan Museum |
E466663
|
entity |
| Predicate | isTheOldest |
P7751
|
FINISHED |
| Object | oldest public museum in Taiwan |
—
|
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: oldest public museum in Taiwan | Statement: [National Taiwan Museum, isTheOldest, oldest public museum in Taiwan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTheOldest Context triple: [National Taiwan Museum, isTheOldest, oldest public museum in Taiwan]
-
A.
oldestAge
Indicates that the associated value represents the greatest (maximum) age within a given group, set, or context.
-
B.
isOldest
chosen
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
-
C.
oneOfTheOldestOn
Indicates that one entity is among the earliest or longest-existing examples within the set defined by another entity.
-
D.
isOldestLineOf
Indicates that one line is the earliest or first-established among a set of related lines.
-
E.
isOldestOrderOf
Indicates that one order is the earliest or first created among a set of related orders for a given context or entity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e198621481908618f65dd01746fc |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.