Triple
T9199903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Guinea |
E220809
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Labé |
E786768
|
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: Labé | Statement: [Middle Guinea, hasMajorCity, Labé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labé Context triple: [Middle Guinea, hasMajorCity, Labé]
-
A.
Labé
chosen
Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
-
B.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
C.
Trois-Ponts
Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
-
D.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
E.
Loché
Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd881c5d48190bbc33fac71a1d849 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b96f0e88190bd80594fe3f769b8 |
completed | April 4, 2026, 5:03 a.m. |
Created at: March 30, 2026, 7:25 p.m.