Triple
T4145108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haga Palace |
E89362
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Haga Palace, Solna |
E89362
|
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: Haga Palace, Solna | Statement: [Haga Palace, alsoKnownAs, Haga Palace, Solna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haga Palace, Solna Context triple: [Haga Palace, alsoKnownAs, Haga Palace, Solna]
-
A.
Haga Palace, Solna, Sweden
chosen
Haga Palace in Solna, Sweden, is a historic royal residence best known as the birthplace and current home of members of the Swedish royal family.
-
B.
Tyresö Palace
Tyresö Palace is a historic 17th-century castle and former noble residence in Sweden, known for its well-preserved architecture and scenic location near Stockholm.
-
C.
Stockholm Palace
Stockholm Palace is the official royal residence and a major ceremonial and historical landmark located in the heart of Sweden’s capital, Stockholm.
-
D.
Karlberg Palace, Sweden
Karlberg Palace is a historic royal residence and former royal military academy located just outside central Stockholm, Sweden.
-
E.
Stockholm Stadsgården
Stockholm Stadsgården is a central waterfront quay and ferry terminal area in Stockholm, Sweden, serving cruise ships, ferries, and other passenger traffic.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025e850c819085ec05b9d9b60712 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576d2f1788190847d38a384abbe67 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.