Triple
T12587366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muzaffarpur |
E300502
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Shahi litchi |
E576124
|
NE FINISHED |
How this triple was built (2 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: Shahi litchi | Statement: [Muzaffarpur, knownFor, Shahi litchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahi litchi Context triple: [Muzaffarpur, knownFor, Shahi litchi]
-
A.
Litchi
chosen
Litchi is a tropical fruit-bearing tree genus best known for producing sweet, aromatic lychee fruits with rough red skins and translucent white flesh.
-
B.
Alphonso mangoes
Alphonso mangoes are a premium, richly flavored Indian mango variety especially prized for their sweetness, aroma, and smooth, fiberless flesh.
-
C.
Jambu Savari
Jambu Savari is the grand elephant-led procession that forms the centerpiece of the Mysuru Dasara celebrations in Karnataka, India.
-
D.
Calicut Halwa
Calicut Halwa is a rich, colorful, and chewy traditional sweet from Kozhikode in Kerala, India, made primarily from flour, sugar, and ghee and known for its glossy texture and variety of flavors.
-
E.
Mehsana
Mehsana is a prominent city in the Indian state of Gujarat, known for its dairy industry, oil and natural gas fields, and historical temples.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:05 p.m.