Triple
T8550485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil calendar |
E202431
|
entity |
| Predicate | hasMonth |
P6433
|
FINISHED |
| Object |
Maasi
Maasi is a late-winter month in the traditional Tamil calendar, typically corresponding to February–March in the Gregorian calendar and associated with various Hindu religious observances.
|
E743489
|
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: Maasi | Statement: [Tamil calendar, hasMonth, Maasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maasi Context triple: [Tamil calendar, hasMonth, Maasi]
-
A.
Maasim
Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
-
B.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
C.
Masar
Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
-
D.
Marechiaro
Marechiaro is a picturesque seaside village in Naples, Italy, famed for its tranquil waterfront, historic charm, and views of the Gulf of Naples.
-
E.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
- 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: Maasi Triple: [Tamil calendar, hasMonth, Maasi]
Generated description
Maasi is a late-winter month in the traditional Tamil calendar, typically corresponding to February–March in the Gregorian calendar and associated with various Hindu religious observances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maasi Target entity description: Maasi is a late-winter month in the traditional Tamil calendar, typically corresponding to February–March in the Gregorian calendar and associated with various Hindu religious observances.
-
A.
Maasim
Maasim is a coastal municipality in the province of South Cotabato on the island of Mindanao in the Philippines, known for agriculture and fishing.
-
B.
Mangini
Mangini is an Italian surname most notably associated with former NFL head coach and analyst Eric Mangini.
-
C.
Masar
Masar is a British Thoroughbred racehorse best known for winning the 2018 Epsom Derby for Godolphin.
-
D.
Marechiaro
Marechiaro is a picturesque seaside village in Naples, Italy, famed for its tranquil waterfront, historic charm, and views of the Gulf of Naples.
-
E.
Majene
Majene is a coastal town and regency capital in West Sulawesi, Indonesia, known for its fishing industry and role as a regional administrative center.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce892efdf8819093c966bd8f6c8065 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8c7ad5cc8190a50c8e15ce353d1d |
completed | April 2, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d595d80819093a1b849bcb3c7c7 |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:19 p.m.