Triple
T9563291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Synagogue Amsterdam |
E230728
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Esnoga
Esnoga is the historic 17th-century Portuguese Synagogue in Amsterdam, renowned as one of the largest and best-preserved Sephardic synagogues in the world.
|
E807241
|
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: Esnoga | Statement: [Portuguese Synagogue Amsterdam, alsoKnownAs, Esnoga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esnoga Context triple: [Portuguese Synagogue Amsterdam, alsoKnownAs, Esnoga]
-
A.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
B.
Iosseliani
Iosseliani is a Georgian surname most prominently associated with acclaimed film director Otar Iosseliani.
-
C.
Eshnunna
Eshnunna was an important ancient Mesopotamian city-state in the Diyala River region, known for its early legal code and strategic role in Old Babylonian politics and trade.
-
D.
Ainos
Ainos was a medieval port city and strategic stronghold on the northern Aegean coast, historically contested by Byzantine, Genoese, and Ottoman powers.
-
E.
Tota
Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
- 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: Esnoga Triple: [Portuguese Synagogue Amsterdam, alsoKnownAs, Esnoga]
Generated description
Esnoga is the historic 17th-century Portuguese Synagogue in Amsterdam, renowned as one of the largest and best-preserved Sephardic synagogues in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esnoga Target entity description: Esnoga is the historic 17th-century Portuguese Synagogue in Amsterdam, renowned as one of the largest and best-preserved Sephardic synagogues in the world.
-
A.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
B.
Iosseliani
Iosseliani is a Georgian surname most prominently associated with acclaimed film director Otar Iosseliani.
-
C.
Eshnunna
Eshnunna was an important ancient Mesopotamian city-state in the Diyala River region, known for its early legal code and strategic role in Old Babylonian politics and trade.
-
D.
Ainos
Ainos was a medieval port city and strategic stronghold on the northern Aegean coast, historically contested by Byzantine, Genoese, and Ottoman powers.
-
E.
Tota
Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9968b8608190b3078fe5764f0a69 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152a56f0481908f36df2d4d1291f2 |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d15620742481909cb17de46f1e5d1c |
completed | April 4, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d156c815fc819088239d154460102a |
completed | April 4, 2026, 6:22 p.m. |
Created at: March 30, 2026, 8:03 p.m.