Triple
T12704304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo at Didyma |
E303539
|
entity |
| Predicate | dateOfMajorSanctuaryDevelopment |
P106437
|
FINISHED |
| Object | late 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: late 4th century BCE | Statement: [Temple of Apollo at Didyma, dateOfMajorSanctuaryDevelopment, late 4th century BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfMajorSanctuaryDevelopment Context triple: [Temple of Apollo at Didyma, dateOfMajorSanctuaryDevelopment, late 4th century BCE]
-
A.
establishedProtectedAreaYear
Indicates the year in which a protected area was officially established or designated.
-
B.
hasMajorSanctuary
Indicates that an entity possesses or is associated with a primary or principal sanctuary location.
-
C.
dateOfNationalMonumentDesignation
Indicates the specific date on which something was officially designated as a national monument.
-
D.
foundedAsProtectedArea
Indicates that an entity was originally established or designated as a protected area at the time of its founding.
-
E.
marineProtectedAreaDesignationYear
Indicates the year in which an area was formally designated as a marine protected area.
- F. None of above. chosen
Provenance (4 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d962a32c6481908ddaddae4ea267bf |
completed | April 10, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69d960be63f081908a5ef5ef17a311bf |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96297b81c819081ad1432dc5f15f4 |
completed | April 10, 2026, 8:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.