Triple
T1916155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meir Dizengoff |
E40021
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Akkerman
Akkerman, historically known as Cetatea Albă and now called Bilhorod-Dnistrovskyi, is an ancient fortress town in southwestern Ukraine near the Black Sea.
|
E525812
|
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: Akkerman | Statement: [Meir Dizengoff, placeOfBirth, Akkerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akkerman Context triple: [Meir Dizengoff, placeOfBirth, Akkerman]
-
A.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
-
B.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
-
C.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
D.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
E.
Schiedam
Schiedam is a Dutch city renowned for its historic jenever (gin) distilleries and exceptionally tall traditional windmills, located near Rotterdam in the province of South Holland.
- 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: Akkerman Triple: [Meir Dizengoff, placeOfBirth, Akkerman]
Generated description
Akkerman, historically known as Cetatea Albă and now called Bilhorod-Dnistrovskyi, is an ancient fortress town in southwestern Ukraine near the Black Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akkerman Target entity description: Akkerman, historically known as Cetatea Albă and now called Bilhorod-Dnistrovskyi, is an ancient fortress town in southwestern Ukraine near the Black Sea.
-
A.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
-
B.
Rozenburg
Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
-
C.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
D.
Alkmaar
Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
-
E.
Schiedam
Schiedam is a Dutch city renowned for its historic jenever (gin) distilleries and exceptionally tall traditional windmills, located near Rotterdam in the province of South Holland.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb20f54848190b9457e1231aa49db |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf9f4cba048190afe8aa775fa81e5a |
completed | March 22, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69bf9f81dd5081909fda4f4e4d0528d2 |
completed | March 22, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfa039df908190b689e4f967c9908e |
completed | March 22, 2026, 7:54 a.m. |
Created at: March 4, 2026, 7:35 p.m.