Triple
T35892551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Thymbraeus |
E1038123
|
entity |
| Predicate | connectedToSiteType |
P53032
|
FINISHED |
| Object | sanctuary |
—
|
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: sanctuary | Statement: [Apollo Thymbraeus, connectedToSiteType, sanctuary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToSiteType Context triple: [Apollo Thymbraeus, connectedToSiteType, sanctuary]
-
A.
associatedSiteType
chosen
Indicates the type or category of site with which an entity is associated.
-
B.
connectsTypeOfHub
Indicates that one entity is linked to another entity that functions as a specific type of hub within a network or system.
-
C.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
D.
connectsServiceType
Indicates a relationship where one entity is linked or associated to another based on a specific type of service connection.
-
E.
connectsDeviceType
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9bed58dc8190a204816d4ed6c32c |
completed | May 9, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69ff9b69653c81908ab0d88055a66a88 |
completed | May 9, 2026, 8:39 p.m. |
Created at: May 3, 2026, 4:06 p.m.