Triple
T22738172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lielais dzintars concert hall |
E562331
|
entity |
| Predicate | hasNameMeaning |
P1966
|
FINISHED |
| Object |
Great Amber
Great Amber is the English name of the distinctive, amber-colored concert hall and cultural center located in Liepāja, Latvia.
|
E1552666
|
NE FINISHED |
How this triple was built (4 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: Great Amber | Statement: [Lielais dzintars concert hall, hasNameMeaning, Great Amber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Great Amber Context triple: [Lielais dzintars concert hall, hasNameMeaning, Great Amber]
-
A.
Sweet Amber
"Sweet Amber" is a song by American heavy metal band Metallica from their 2003 album *St. Anger*.
-
B.
Amber
Amber is a historic town near Jaipur in Rajasthan, India, renowned for its hilltop Amber Fort and rich Rajput architectural heritage.
-
C.
Amber
Amber is a character from the film "Green Room," a tense horror-thriller about a punk band trapped in a remote venue controlled by violent neo-Nazis.
-
D.
Amber
Amber is a feminine given name derived from the English word for the fossilized tree resin, often associated with a warm, golden color.
-
E.
Amberoid
Amberoid was a Thoroughbred racehorse best known as a Belmont Stakes winner during the 1960s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Great Amber Triple: [Lielais dzintars concert hall, hasNameMeaning, Great Amber]
Generated description
Great Amber is the English name of the distinctive, amber-colored concert hall and cultural center located in Liepāja, Latvia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Great Amber Target entity description: Great Amber is the English name of the distinctive, amber-colored concert hall and cultural center located in Liepāja, Latvia.
-
A.
Sweet Amber
"Sweet Amber" is a song by American heavy metal band Metallica from their 2003 album *St. Anger*.
-
B.
Amber
Amber is a historic town near Jaipur in Rajasthan, India, renowned for its hilltop Amber Fort and rich Rajput architectural heritage.
-
C.
Amber
Amber is a character from the film "Green Room," a tense horror-thriller about a punk band trapped in a remote venue controlled by violent neo-Nazis.
-
D.
Amber
Amber is a feminine given name derived from the English word for the fossilized tree resin, often associated with a warm, golden color.
-
E.
Amberoid
Amberoid was a Thoroughbred racehorse best known as a Belmont Stakes winner during the 1960s.
- F. None of above. chosen
Provenance (5 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17971751081909253984429c8d178 |
completed | April 29, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fce978c81908b83f84dc1357c91 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b937b20008190817512be3d48df39 |
completed | May 18, 2026, 10:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b946320e0819097ef9c4638595dff |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:22 p.m.