Triple
T1249888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrgi Tablets |
E26849
|
entity |
| Predicate | inscriptionCount |
P12862
|
FINISHED |
| Object | two Etruscan texts |
—
|
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: two Etruscan texts | Statement: [Pyrgi Tablets, inscriptionCount, two Etruscan texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionCount Context triple: [Pyrgi Tablets, inscriptionCount, two Etruscan texts]
-
A.
registerCount
Indicates the number of registers associated with or allocated to a given entity in a system.
-
B.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
-
C.
numberOfInscriptions
chosen
Indicates the total count of inscriptions associated with a given entity or object.
-
D.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
E.
inscriptionLocation
Indicates the place or surface on which an inscription is written or engraved.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf83b32c81908648e5748b897247 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.