Triple
T1973493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Column of Phocas |
E42852
|
entity |
| Predicate | inscriptionDate |
P33351
|
FINISHED |
| Object | 1 August 608 |
—
|
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: 1 August 608 | Statement: [Column of Phocas, inscriptionDate, 1 August 608]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionDate Context triple: [Column of Phocas, inscriptionDate, 1 August 608]
-
A.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
B.
admissionDate
Indicates the date on which an entity (such as a person, application, or item) is formally admitted, accepted, or entered into a system or institution.
-
C.
designationDate
Indicates the date on which an entity is formally assigned, designated, or given a particular status or role.
-
D.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
E.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f477988190b0165fc46b1cccfd |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:36 p.m.