Triple
T28502949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octavii Thurinī |
E721286
|
entity |
| Predicate | likelyPlaceOfOrigin |
P3743
|
FINISHED |
| Object | Thurii |
—
|
NE NERFINISHED |
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: Thurii | Statement: [Octavii Thurinī, likelyPlaceOfOrigin, Thurii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyPlaceOfOrigin Context triple: [Octavii Thurinī, likelyPlaceOfOrigin, Thurii]
-
A.
likelyCountryOfOrigin
Indicates that an entity is probably from, or most commonly associated with originating in, a particular country.
-
B.
placeOfOrigin
chosen
Indicates the location or source from which an entity originally comes or was created.
-
C.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
D.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
-
E.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 3:07 a.m.