Triple
T8932898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bong County |
E212699
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Gio |
E767808
|
NE 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: Gio | Statement: [Bong County, hasEthnicGroup, Gio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gio Context triple: [Bong County, hasEthnicGroup, Gio]
-
A.
Gio
Gio is a common short form of the Italian given name Giorgio.
-
B.
Gio
chosen
The Gio are an ethnic group of Liberia and neighboring countries, known for their distinct language, cultural traditions, and historical involvement in the country’s political conflicts.
-
C.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
-
D.
Quindici
Quindici is a small town and comune in the Campania region of southern Italy, located in the province of Avellino.
-
E.
Pio
Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668e5c108190b08f9cd6b4fd4a8b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc93587b081908e23c2a8c01b9516 |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:57 p.m.