Triple
T12771148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanakshahi calendar |
E305248
|
entity |
| Predicate | hasMonth |
P6433
|
FINISHED |
| Object |
Maghar
Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
|
E1003362
|
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: Maghar | Statement: [Nanakshahi calendar, hasMonth, Maghar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maghar Context triple: [Nanakshahi calendar, hasMonth, Maghar]
-
A.
Tislit
Tislit is a small village in the Jbel Sirwa region of Morocco, known for its traditional Berber culture and mountainous surroundings.
-
B.
Marsa
Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
-
C.
Mġarr
Mġarr is a rural village in northwestern Malta known for its agricultural landscape and proximity to important prehistoric temple sites.
-
D.
Birżebbuġa
Birżebbuġa is a coastal town in the south of Malta known for its sandy beaches, particularly Pretty Bay, and its proximity to the island’s main container port.
-
E.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
- 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: Maghar Triple: [Nanakshahi calendar, hasMonth, Maghar]
Generated description
Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maghar Target entity description: Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
-
A.
Tislit
Tislit is a small village in the Jbel Sirwa region of Morocco, known for its traditional Berber culture and mountainous surroundings.
-
B.
Marsa
Marsa is a town in Malta located on the shores of the Grand Harbour, known historically for its port and industrial facilities.
-
C.
Mġarr
Mġarr is a rural village in northwestern Malta known for its agricultural landscape and proximity to important prehistoric temple sites.
-
D.
Birżebbuġa
Birżebbuġa is a coastal town in the south of Malta known for its sandy beaches, particularly Pretty Bay, and its proximity to the island’s main container port.
-
E.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.