Triple
T5931917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagunitas Brewing Company |
E131956
|
entity |
| Predicate | produces |
P490
|
FINISHED |
| Object |
DayTime IPA
DayTime IPA is a low-calorie, sessionable India pale ale known for its bright hop character and lighter body, brewed by Lagunitas Brewing Company.
|
E556674
|
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: DayTime IPA | Statement: [Lagunitas Brewing Company, produces, DayTime IPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DayTime IPA Context triple: [Lagunitas Brewing Company, produces, DayTime IPA]
-
A.
T.I.M.E.
T.I.M.E. is an international association of leading engineering and technology universities that collaborates on joint programs, double degrees, and academic exchanges.
-
B.
Dimasa
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
-
C.
Madras Time
Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
-
D.
Palau Time
Palau Time is the standard time zone used in the Republic of Palau, corresponding to UTC+9 hours.
-
E.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
- 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: DayTime IPA Triple: [Lagunitas Brewing Company, produces, DayTime IPA]
Generated description
DayTime IPA is a low-calorie, sessionable India pale ale known for its bright hop character and lighter body, brewed by Lagunitas Brewing Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DayTime IPA Target entity description: DayTime IPA is a low-calorie, sessionable India pale ale known for its bright hop character and lighter body, brewed by Lagunitas Brewing Company.
-
A.
T.I.M.E.
T.I.M.E. is an international association of leading engineering and technology universities that collaborates on joint programs, double degrees, and academic exchanges.
-
B.
Dimasa
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
-
C.
Madras Time
Madras Time was a former local time standard used in the Madras (now Chennai) region of India before the adoption of a unified national time zone.
-
D.
Palau Time
Palau Time is the standard time zone used in the Republic of Palau, corresponding to UTC+9 hours.
-
E.
Dag
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389df18c81909027a9db7596f0c1 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c05eb4b8819097f203e1db94ae8f |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c1dc210c8190b841e00b38577b08 |
completed | March 23, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c25267588190bee988b869f14382 |
completed | March 23, 2026, 4:32 a.m. |
Created at: March 22, 2026, 4 p.m.