Triple
T12168304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjak of Alexandretta |
E289890
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Alexandretta |
E289880
|
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: Alexandretta | Statement: [Sanjak of Alexandretta, capital, Alexandretta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandretta Context triple: [Sanjak of Alexandretta, capital, Alexandretta]
-
A.
Alexandretta
chosen
Alexandretta, historically known as İskenderun, is a strategic port city on Turkey’s Mediterranean coast that has long been a focal point of regional trade and territorial disputes.
-
B.
Eresos
Eresos is a historic coastal village on the Greek island of Lesbos, known as the birthplace of the ancient poet Sappho and for its scenic beaches.
-
C.
Theodosia
Theodosia is a feminine given name of Greek origin, historically associated with early Christian martyrs and later borne by notable women in American history.
-
D.
Theodosia
Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
-
E.
Marsa
Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a84236c8190baa383c950d2bd62 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:50 p.m.