Triple
T5816713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Athena Pronaia |
E129003
|
entity |
| Predicate | hasApproximateConstructionDate |
P22960
|
FINISHED |
| Object | 6th century BCE |
—
|
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: 6th century BCE | Statement: [Sanctuary of Athena Pronaia, hasApproximateConstructionDate, 6th century BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateConstructionDate Context triple: [Sanctuary of Athena Pronaia, hasApproximateConstructionDate, 6th century BCE]
-
A.
constructionDate
Indicates the date on which an entity (such as a building or structure) was constructed or completed.
-
B.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
C.
approximateYearOfCompletion
chosen
Indicates the estimated calendar year in which something was completed, rather than an exact or confirmed year.
-
D.
dateApproximate
Indicates that the associated date is not exact but estimated or approximate rather than precisely known.
-
E.
approximateDesignYear
Indicates the estimated or inferred year in which something was designed, rather than a precisely known design year.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.