Triple
T5816714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Athena Pronaia |
E129003
|
entity |
| Predicate | hasLaterAdditionsDate |
P56452
|
FINISHED |
| Object | 4th 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: 4th century BCE | Statement: [Sanctuary of Athena Pronaia, hasLaterAdditionsDate, 4th century BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterAdditionsDate Context triple: [Sanctuary of Athena Pronaia, hasLaterAdditionsDate, 4th century BCE]
-
A.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
B.
laterIncludedOn
chosen
Indicates that one entity was added to, incorporated into, or featured on another entity at a subsequent time.
-
C.
introducedAfter
Indicates that one entity was introduced at a later time or stage than another entity.
-
D.
tookPlaceAfter
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
E.
revisedEditionDate
Indicates the date on which a work was issued or published as a revised edition.
- 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.