Triple
T7184020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramat Negev Regional Council |
E167523
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object |
Beer Milka
Beer Milka is a small agricultural community (moshav) in Israel’s Negev desert, near the Egyptian border.
|
E647316
|
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: Beer Milka | Statement: [Ramat Negev Regional Council, administers, Beer Milka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beer Milka Context triple: [Ramat Negev Regional Council, administers, Beer Milka]
-
A.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
B.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
C.
Fanta
Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
-
D.
Birra Moretti
Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
-
E.
Polar Beverages
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
- 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: Beer Milka Triple: [Ramat Negev Regional Council, administers, Beer Milka]
Generated description
Beer Milka is a small agricultural community (moshav) in Israel’s Negev desert, near the Egyptian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beer Milka Target entity description: Beer Milka is a small agricultural community (moshav) in Israel’s Negev desert, near the Egyptian border.
-
A.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
B.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
C.
Fanta
Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
-
D.
Birra Moretti
Birra Moretti is a traditional Italian beer brand known for its classic lager and iconic mustachioed man logo, now distributed internationally.
-
E.
Polar Beverages
Polar Beverages is a long-established, family-owned American beverage company best known for its sparkling seltzers, soft drinks, and mixers, particularly in the New England region.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7b9e55f84819099af471a65bb68aa |
completed | March 28, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ba9317548190946e21c2731d58a7 |
completed | March 28, 2026, 11:25 a.m. |
Created at: March 27, 2026, 2:49 p.m.