Triple
T9142533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaulanitis |
E219364
|
entity |
| Predicate | hasImportantTown |
P14082
|
FINISHED |
| Object | Gamla |
E381200
|
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: Gamla | Statement: [Gaulanitis, hasImportantTown, Gamla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamla Context triple: [Gaulanitis, hasImportantTown, Gamla]
-
A.
Gamla
chosen
Gamla was an ancient Jewish stronghold on the Golan Heights, known for its dramatic siege and destruction by Roman forces during the First Jewish–Roman War.
-
B.
Olden
Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
-
C.
Grossgrunden
Grossgrunden is one of the islands in the Holmön archipelago off the coast of northern Sweden in the Gulf of Bothnia.
-
D.
Rimforsa
Rimforsa is a small locality in Kinda Municipality in Östergötland County, Sweden.
-
E.
Djursholm
Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f5f740819098236ada5b95889d |
completed | April 1, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d048186cc88190be4f515c16c20450 |
completed | April 3, 2026, 11:07 p.m. |
Created at: March 30, 2026, 7:19 p.m.