Triple
T8166147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Aphaia |
E190696
|
entity |
| Predicate | columnStatus |
P47045
|
FINISHED |
| Object | many standing columns preserved |
—
|
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: many standing columns preserved | Statement: [Temple of Aphaia, columnStatus, many standing columns preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: columnStatus Context triple: [Temple of Aphaia, columnStatus, many standing columns preserved]
-
A.
currentStandingColumns
chosen
Indicates that certain columns are presently active, visible, or in use within a given context or layout.
-
B.
chartStatus
Indicates the current state or condition of a chart, such as whether it is active, updated, or in a particular workflow stage.
-
C.
colonyStatus
Indicates the political or administrative condition of a territory in relation to a colonizing power, such as whether it is a colony, former colony, or non-colonial.
-
D.
statusInDatabases
Indicates the current state or condition an entity has within one or more database systems.
-
E.
coordinateStatus
Indicates that one entity’s status is aligned, synchronized, or made consistent with another entity’s status or with a shared reference state.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46680fac81908df134df9bf84915 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.