Triple
T13017078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pentelic quarries |
E322579
|
entity |
| Predicate | ownershipInAntiquity |
P57987
|
FINISHED |
| Object | controlled by the Athenian state |
—
|
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: controlled by the Athenian state | Statement: [Pentelic quarries, ownershipInAntiquity, controlled by the Athenian state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipInAntiquity Context triple: [Pentelic quarries, ownershipInAntiquity, controlled by the Athenian state]
-
A.
reputationInAntiquity
Indicates the reputation or standing an entity had during ancient times.
-
B.
discoveredInAntiquity
Indicates that something was found, identified, or recognized during ancient historical times rather than in the modern era.
-
C.
ownedUntilCentury
Indicates that an entity possessed or held ownership of another entity up to, but not necessarily beyond, a specified century.
-
D.
ownedIn
chosen
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
-
E.
storedInAntiquityAs
Indicates that something was kept, preserved, or archived during ancient times in a particular place or container.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ece22908190a0941e23df7c774d |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:51 p.m.