Triple
T11588736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Hera Lacinia |
E274822
|
entity |
| Predicate | colonnadeType |
P18962
|
FINISHED |
| Object | peripteral |
—
|
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: peripteral | Statement: [Temple of Hera Lacinia, colonnadeType, peripteral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonnadeType Context triple: [Temple of Hera Lacinia, colonnadeType, peripteral]
-
A.
hasColonnade
chosen
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
B.
hasColonnadeMaterial
Indicates that a colonnade is made from, or primarily constructed using, a specified material.
-
C.
colonyType
Indicates the specific classification or kind of colony associated with an entity (e.g., its organizational or structural type).
-
D.
corridorType
Indicates the specific kind or classification of a corridor associated with an entity or location.
-
E.
courtyardType
Indicates the specific kind or classification of a courtyard associated with an entity.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.