Triple
T7333591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hormozgan Province |
E169066
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Jask |
E657499
|
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: Jask | Statement: [Hormozgan Province, hasCity, Jask]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jask Context triple: [Hormozgan Province, hasCity, Jask]
-
A.
Jask
chosen
Jask is a coastal city and strategic port on the Gulf of Oman in southern Iran’s Hormozgan Province.
-
B.
Malinska
Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
-
C.
Kraljevica
Kraljevica is a coastal town in western Croatia known for its historic castles and shipyard on the Adriatic Sea.
-
D.
Skorba
Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
-
E.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c0f87081908d12ac14d4591e23 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa82498c8190b1898a8c27cec71d |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3:04 p.m.