Triple
T29037019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Apollo Epicurius |
E737887
|
entity |
| Predicate | protectionStructure |
P8412
|
FINISHED |
| Object | protective tent shelter |
—
|
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: protective tent shelter | Statement: [Temple of Apollo Epicurius, protectionStructure, protective tent shelter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protectionStructure Context triple: [Temple of Apollo Epicurius, protectionStructure, protective tent shelter]
-
A.
infrastructureProtected
Indicates that infrastructure is safeguarded or defended against damage, disruption, or unauthorized interference.
-
B.
defensiveStructure
chosen
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
C.
shareDefenseStructure
Indicates that two or more entities utilize or are protected by the same defensive structure or system.
-
D.
isFortifiedStructureOf
Indicates that one entity is a defensive or fortified structure that protects, encloses, or is associated with another entity.
-
E.
guardedStructure
Indicates that a structure is being protected or watched over by a guarding entity or mechanism.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 28, 2026, 9:59 a.m.