Triple
T34720366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lei Cheng Uk Han Tomb Museum |
E1000895
|
entity |
| Predicate | tombStructure |
P181547
|
FINISHED |
| Object | cruciform layout |
—
|
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: cruciform layout | Statement: [Lei Cheng Uk Han Tomb Museum, tombStructure, cruciform layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tombStructure Context triple: [Lei Cheng Uk Han Tomb Museum, tombStructure, cruciform layout]
-
A.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
B.
tombCategory
Indicates the classification or type of a tomb that an entity is associated with.
-
C.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
D.
tombLocatedIn
Indicates that a particular tomb is situated within or at a specified location or place.
-
E.
hasTombs
Indicates that one entity possesses, contains, or is the location of one or more tombs associated with another entity.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.