Triple
T9005793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic State – Libya Province |
E215139
|
entity |
| Predicate | areaOfOperation |
P82
|
FINISHED |
| Object | Derna |
E50126
|
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: Derna | Statement: [Islamic State – Libya Province, areaOfOperation, Derna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derna Context triple: [Islamic State – Libya Province, areaOfOperation, Derna]
-
A.
Derna
chosen
Derna is a coastal city in eastern Libya known for its strategic location, turbulent political history, and role as a focal point in the country's conflicts.
-
B.
Marsa al-Brega
Marsa al-Brega is a coastal industrial town in northeastern Libya known for its major oil refinery and petrochemical facilities on the Gulf of Sidra.
-
C.
Madayya
Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
-
D.
Safita
Safita is a historic hilltop town in western Syria known for its prominent Crusader-era fortress, the White Tower.
-
E.
Al Bayda
Al Bayda is a city in northeastern Libya that serves as one of the main urban centers of the Cyrenaica region.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e3f0c88190ae688632be25e5c9 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.