Triple
T21960270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yohannes IV |
E542307
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Metemma |
—
|
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: Metemma | Statement: [Yohannes IV, deathPlace, Metemma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metemma Context triple: [Yohannes IV, deathPlace, Metemma]
-
A.
Metema
chosen
Metema is a border town in northwestern Ethiopia near Sudan, serving as a key transit point for cross-border trade and transport.
-
B.
Gomeisa
Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Mella
Mella is a river in northern Italy that flows through the province of Brescia before joining the Oglio River.
-
E.
Moema
Moema is an upscale residential and commercial neighborhood in São Paulo, Brazil, known for its proximity to Ibirapuera Park, vibrant nightlife, and diverse dining options.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12454a290819094d4b56547816e3f |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8 p.m.