Triple
T4967953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludwik Fleck |
E111571
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Ness Ziona
Ness Ziona is a small city in central Israel known for its scientific research institutions and proximity to Tel Aviv.
|
E526029
|
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: Ness Ziona | Statement: [Ludwik Fleck, placeOfDeath, Ness Ziona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ness Ziona Context triple: [Ludwik Fleck, placeOfDeath, Ness Ziona]
-
A.
Netanya
Netanya is a coastal city in central Israel on the Mediterranean Sea, known for its beaches, tourism, and role as a regional economic center.
-
B.
Kiryat Ono
Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
-
C.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
D.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
E.
Petah Tikva
Petah Tikva is a major city in central Israel, known as one of the country’s oldest modern Jewish settlements and a significant industrial and commercial hub in the Tel Aviv metropolitan area.
- 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: Ness Ziona Triple: [Ludwik Fleck, placeOfDeath, Ness Ziona]
Generated description
Ness Ziona is a small city in central Israel known for its scientific research institutions and proximity to Tel Aviv.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ness Ziona Target entity description: Ness Ziona is a small city in central Israel known for its scientific research institutions and proximity to Tel Aviv.
-
A.
Netanya
Netanya is a coastal city in central Israel on the Mediterranean Sea, known for its beaches, tourism, and role as a regional economic center.
-
B.
Kiryat Ono
Kiryat Ono is a small suburban city in central Israel, located in the Tel Aviv metropolitan area.
-
C.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
-
D.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
E.
Petah Tikva
Petah Tikva is a major city in central Israel, known as one of the country’s oldest modern Jewish settlements and a significant industrial and commercial hub in the Tel Aviv metropolitan area.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71f8f550819099235511ca271e2d |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfa92639a88190a28d9b74e0e55c39 |
completed | March 22, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69bfa9ff7acc8190b8543ab445309ae3 |
completed | March 22, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfaa8396e88190b5ee1033b9a3c473 |
completed | March 22, 2026, 8:38 a.m. |
Created at: March 20, 2026, 1:32 p.m.