Triple
T34720362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lei Cheng Uk Han Tomb Museum |
E1000895
|
entity |
| Predicate | discoveryOfMainFeature |
P64219
|
FINISHED |
| Object | Lei Cheng Uk Han Tomb |
—
|
NE NERFINISHED |
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: Lei Cheng Uk Han Tomb | Statement: [Lei Cheng Uk Han Tomb Museum, discoveryOfMainFeature, Lei Cheng Uk Han Tomb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveryOfMainFeature Context triple: [Lei Cheng Uk Han Tomb Museum, discoveryOfMainFeature, Lei Cheng Uk Han Tomb]
-
A.
discoveredFeature
chosen
Indicates that an entity has identified or uncovered a previously unknown or unrecognized feature of another entity or object.
-
B.
madeDiscoveryOn
Indicates that an entity discovered or identified something on a specific date or at a specific point in time.
-
C.
firstMajorDiscovery
Indicates that the object is the earliest significant discovery or breakthrough associated with the subject.
-
D.
discovery
Indicates the event or process by which one entity finds, uncovers, or identifies something previously unknown or unrecognized.
-
E.
discoveredAs
Indicates that one entity was first identified, found, or recognized in the role or form specified by another 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 3:59 p.m.