Triple
T6089938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meroitic script |
E135735
|
entity |
| Predicate | numberOfSignsApproximate |
P37173
|
FINISHED |
| Object | about 23 consonant signs |
—
|
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: about 23 consonant signs | Statement: [Meroitic script, numberOfSignsApproximate, about 23 consonant signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSignsApproximate Context triple: [Meroitic script, numberOfSignsApproximate, about 23 consonant signs]
-
A.
numberOfSigns
chosen
Indicates the quantity of signs associated with or present in relation to a given entity or context.
-
B.
numberOfSignatories
Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
-
C.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another entity.
-
D.
numberOfMarkers
Indicates the quantity or count of markers associated with a given entity or context.
-
E.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a862c88190912a913973c6b6fc |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.