Triple
T21661779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beirut Governorate |
E534610
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mar Mikhael |
—
|
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: Mar Mikhael | Statement: [Beirut Governorate, contains, Mar Mikhael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mar Mikhael Context triple: [Beirut Governorate, contains, Mar Mikhael]
-
A.
Mar Mikhael
chosen
Mar Mikhael is a historically vibrant Beirut neighborhood known for its nightlife, arts scene, and distinctive old buildings, many of which were devastated in the 2020 port explosion.
-
B.
Mikhalis
Mikhalis is the birth name of Makarios III, the influential Archbishop and first President of independent Cyprus.
-
C.
Кальмиус
Кальмиус — это река на востоке Украины, протекающая через Донецкую область и впадающая в Азовское море.
-
D.
San-Nicolao
San-Nicolao is a coastal commune on the island of Corsica in France, known for its Mediterranean scenery and tourism.
-
E.
Mikleuš
Mikleuš is a small municipality and village in northeastern Croatia, situated within the Virovitica-Podravina region.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0883d481908dfdc66832c34d74 |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.