Triple
T16517779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maekel Region |
E401228
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Maekel |
E392880
|
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: Maekel | Statement: [Maekel Region, alternativeName, Maekel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maekel Context triple: [Maekel Region, alternativeName, Maekel]
-
A.
Maekel
chosen
Maekel is a central administrative region of Eritrea that includes the capital city, Asmara.
-
B.
Jacobus
Jacobus is the given name of Koos de la Rey, a prominent Boer general and political figure in South African history.
-
C.
Johannes
Johannes is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
-
D.
Johannes
Johannes is the given first name of Hubertus van Mook, a Dutch colonial administrator who served as Governor-General of the Dutch East Indies during and after World War II.
-
E.
Johannes
Johannes is a masculine given name of Hebrew origin, related to names like John and Johan and common in various European languages.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7da2248190a540a5ef8686963d |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006086c0a881908976103f8a144f69 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.