Triple
T20319924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombs of the Prophets |
E492181
|
entity |
| Predicate | numberOfBurialNiches |
P139655
|
FINISHED |
| Object | approximately 50 |
—
|
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: approximately 50 | Statement: [Tombs of the Prophets, numberOfBurialNiches, approximately 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBurialNiches Context triple: [Tombs of the Prophets, numberOfBurialNiches, approximately 50]
-
A.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
B.
burialGroundCapacity
Indicates the maximum number of burials or remains that a burial ground is designed or allowed to accommodate.
-
C.
numberOfInterred
Indicates the total count of individuals who are buried or interred at a given site or within a specified context.
-
D.
numberOfUrns
Indicates the count of urns associated with a given entity or context.
-
E.
numberOfCemeteries
Indicates the count of cemeteries associated with a given entity or within a specified area.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:20 a.m.