Triple
T5004847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Crypt |
E112464
|
entity |
| Predicate | numberOfUrns |
P60785
|
FINISHED |
| Object | dozens of urns |
—
|
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: dozens of urns | Statement: [Imperial Crypt, numberOfUrns, dozens of urns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfUrns Context triple: [Imperial Crypt, numberOfUrns, dozens of urns]
-
A.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
B.
numberOfCemeteries
Indicates the count of cemeteries associated with a given entity or within a specified area.
-
C.
numberOfHeadstones
Indicates the total count of headstones associated with a given entity or location.
-
D.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
E.
numberOfUnidentifiedBurials
Indicates the count of burial sites or graves where the interred individuals have not been identified.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:35 p.m.