Triple
T1471420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Zapruder |
E27142
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Kovel
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
|
E211354
|
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: Kovel | Statement: [Abraham Zapruder, placeOfBirth, Kovel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kovel Context triple: [Abraham Zapruder, placeOfBirth, Kovel]
-
A.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
B.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
C.
Mikolow
Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
-
D.
Nevinnomyssk
Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
-
E.
Bruntál
Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
- 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: Kovel Triple: [Abraham Zapruder, placeOfBirth, Kovel]
Generated description
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kovel Target entity description: Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
-
A.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
-
B.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
-
C.
Mikolow
Mikolow is a town in southern Poland’s Silesian Voivodeship, known for its historic center and proximity to the regional capital Katowice.
-
D.
Nevinnomyssk
Nevinnomyssk is an industrial city in southwestern Russia known for its chemical and energy production sectors.
-
E.
Bruntál
Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeabbc9588190880996e549b8bd7a |
completed | March 8, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69adeb6e8fe08190a4732d42aa15ee8e |
completed | March 8, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adebea03a08190bd055e3e6460b5f4 |
completed | March 8, 2026, 9:36 p.m. |
Created at: March 1, 2026, 8:01 p.m.