Triple
T4918344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aseret ha-Dibrot |
E110400
|
entity |
| Predicate | numberOfTablets |
P32396
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Aseret ha-Dibrot, numberOfTablets, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTablets Context triple: [Aseret ha-Dibrot, numberOfTablets, 2]
-
A.
tabletCount
chosen
Indicates the number of tablets associated with or allocated to a given entity or context.
-
B.
currentLocationOfMajorTablets
Indicates the present physical location where the major tablets are situated or stored.
-
C.
writingTabletsContent
Indicates that one or more writing tablets contain or bear a particular written content.
-
D.
writingTabletsDate
Indicates that one or more writing tablets are associated with a specific date or time period.
-
E.
writingTabletsSignificance
Indicates the importance or meaningful role that writing tablets have in a given context, situation, or system.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa8be048190892dfaba4d865ee1 |
completed | March 20, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:29 p.m.