Triple
T23305977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qom |
E590435
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Formosa Province |
—
|
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: Formosa Province | Statement: [Qom, region, Formosa Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Formosa Province Context triple: [Qom, region, Formosa Province]
-
A.
Hither Province
Hither Province was a historical administrative region associated with the ancient Greek city-state of Pylos.
-
B.
Formosa
chosen
Formosa is a city in northeastern Argentina that serves as the capital of Formosa Province, located near the border with Paraguay.
-
C.
Formosa
Formosa is one of the islands in Guinea-Bissau’s Bijagós Archipelago, a coastal island group in West Africa known for its rich biodiversity and traditional communities.
-
D.
Formosa
Formosa is the historical Western name for Taiwan, an East Asian island whose post–World War II status was addressed in Allied agreements such as the Cairo Declaration.
-
E.
Formosa
Formosa is a municipality in the Brazilian state of Goiás, known for its waterfalls, caves, and proximity to the Federal District.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972737c08190bd011776564c3861 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.