Triple
T16274880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eritrean Liberation Front |
E395098
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Derg |
E159188
|
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: Derg | Statement: [Eritrean Liberation Front, opponent, Derg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derg Context triple: [Eritrean Liberation Front, opponent, Derg]
-
A.
Derg
chosen
The Derg was a Marxist-Leninist military junta that ruled Ethiopia from 1974 to 1987, known for its authoritarian rule, land reforms, and the violent Red Terror campaign.
-
B.
Digerati
Digerati is a book by literary agent and author John H. Brockman that profiles influential thinkers and innovators from the early digital and internet culture.
-
C.
Belleten
Belleten is a scholarly history journal published by the Turkish Historical Society, featuring research on Turkish and world history.
-
D.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
E.
Warta
Warta is a small historic town in central Poland, situated in the Sieradz region along the Warta River.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460c2d948190813b66e539a64a70 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.