Triple
T37948923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Athena at Assos |
E946685
|
entity |
| Predicate | hasIonicFeature |
P182
|
FINISHED |
| Object | mouldings and decorative details |
—
|
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: mouldings and decorative details | Statement: [Temple of Athena at Assos, hasIonicFeature, mouldings and decorative details]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIonicFeature Context triple: [Temple of Athena at Assos, hasIonicFeature, mouldings and decorative details]
-
A.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
B.
hasFeatureStatus
Indicates that an entity possesses a particular feature along with its current state or condition.
-
C.
hasIceFeature
Indicates that one entity possesses, contains, or is characterized by an ice-related feature or formation.
-
D.
hasDiscoveryFeature
Indicates that an entity includes or supports a capability for discovering, finding, or surfacing other relevant entities, items, or information.
-
E.
hasDomainFeature
Indicates that something possesses or is characterized by a specific feature or attribute within a particular domain or context.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.