Triple
T12703169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agora of Smyrna |
E303511
|
entity |
| Predicate | dateOfReconstruction |
P8589
|
FINISHED |
| Object | 2nd century |
—
|
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: 2nd century | Statement: [Agora of Smyrna, dateOfReconstruction, 2nd century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfReconstruction Context triple: [Agora of Smyrna, dateOfReconstruction, 2nd century]
-
A.
reconstructionOrRestorationDate
chosen
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
B.
reconstructionEndDate
Indicates the date on which a reconstruction process or project is completed.
-
C.
reconstructionYear
Indicates the year in which something was rebuilt, restored, or reconstructed after damage, alteration, or destruction.
-
D.
rebuiltOn
Indicates that one entity has been reconstructed, restored, or built again on, over, or using the foundation, structure, or basis of another entity.
-
E.
secondBuildingDateOfDestruction
Indicates the date on which a building was destroyed for the second time.
- 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_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. |
Created at: April 9, 2026, 5:23 p.m.