Triple
T720997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Picene |
E14614
|
entity |
| Predicate | numberOfAttestations |
P12862
|
FINISHED |
| Object | very few inscriptions |
—
|
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: very few inscriptions | Statement: [North Picene, numberOfAttestations, very few inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAttestations Context triple: [North Picene, numberOfAttestations, very few inscriptions]
-
A.
timeOfAttestation
Indicates the specific time at which a statement, document, or claim is formally attested or verified.
-
B.
laterSignatoriesCount
Indicates the number of other entities that became signatories after the referenced entity.
-
C.
numberOfSignatories
Indicates the total count of entities that have formally signed or endorsed a given document, agreement, or item.
-
D.
numberOfInscriptions
chosen
Indicates the total count of inscriptions associated with a given entity or object.
-
E.
initialSignatoriesCount
Indicates the number of entities that originally signed or agreed to a document, contract, or agreement at its inception.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58fa41c819082de2cc4e0cb2943 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f513608190b716b939d574c292 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.