Triple
T7608268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian Sea |
E180163
|
entity |
| Predicate | languageEquivalent |
P28329
|
FINISHED |
| Object | Magyar tenger |
E180163
|
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: Magyar tenger | Statement: [Hungarian Sea, languageEquivalent, Magyar tenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magyar tenger Context triple: [Hungarian Sea, languageEquivalent, Magyar tenger]
-
A.
Hungarian Sea
chosen
The "Hungarian Sea" is a popular nickname for Lake Balaton, Central Europe’s largest lake and a major holiday and recreation destination in Hungary.
-
B.
Meer
Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
-
C.
Veerse Meer
Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
-
D.
Trälhavet
Trälhavet is a bay in the Stockholm archipelago of Sweden, known for its boating routes and connection to surrounding inlets and waterways.
-
E.
Meeri
Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6fa1de8a4819091f9e9347835ce16 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8685c050c8190b05fa19c9ae2c827 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.