Triple
T19145299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Region (Cameroon) |
E468662
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Massa |
—
|
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: Massa | Statement: [North Region (Cameroon), hasEthnicGroup, Massa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massa Context triple: [North Region (Cameroon), hasEthnicGroup, Massa]
-
A.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
B.
Massa
chosen
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
C.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
D.
Massa
"Massa" is a track from Tyler, the Creator’s album *Call Me If You Get Lost*, known for its introspective lyrics about his personal growth and artistic evolution.
-
E.
Massa Bruta
Massa Bruta is the popular nickname of Brazilian football club Red Bull Bragantino, reflecting its strong and combative playing style.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e978b0b481909a531efa030c5def |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.