Triple
T9650403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarhuna |
E233317
|
entity |
| Predicate | governorate |
P604
|
FINISHED |
| Object | Tripoli District |
E67268
|
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: Tripoli District | Statement: [Tarhuna, governorate, Tripoli District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripoli District Context triple: [Tarhuna, governorate, Tripoli District]
-
A.
Tobruk District
Tobruk District is an administrative region in eastern Libya centered on the port city of Tobruk, known for its strategic coastal location and historical significance.
-
B.
Tripoli
Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
-
C.
Tripoli
chosen
Tripoli is Lebanon’s second-largest city, a historic Mediterranean port known for its medieval Mamluk architecture and vibrant commercial life.
-
D.
Tripoli
Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia region.
-
E.
Tripoli Eyalet
Tripoli Eyalet was an Ottoman provincial administrative division centered on the coastal city of Tripoli in the Levant, encompassing parts of what is now northern Lebanon and western Syria.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9baf9a1c819098c407ea7d42e6d1 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190eec94c81909ede398926141f89 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:13 p.m.