Triple
T10854842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Goa district |
E256242
|
entity |
| Predicate | legislativeAssemblyConstituenciesInDistrict |
P23217
|
FINISHED |
| Object | Mandrem |
E889844
|
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: Mandrem | Statement: [North Goa district, legislativeAssemblyConstituenciesInDistrict, Mandrem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandrem Context triple: [North Goa district, legislativeAssemblyConstituenciesInDistrict, Mandrem]
-
A.
Mandrem
chosen
Mandrem is a coastal village in North Goa, India, known for its serene beach, relaxed atmosphere, and growing popularity as a laid-back tourist destination.
-
B.
Myrlea
Myrlea was an ancient city located in the historical region of Mysia in northwestern Asia Minor, near the Sea of Marmara.
-
C.
Wolmido
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
-
D.
Loomia
Loomia is an organization or project known for using the Python web framework web.py in its development work.
-
E.
Mandres
Mandres is a small commune located within the canton of Breteuil in northern France.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75135df24819090ce43afa3ea9b38 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7cc0d648190afb0ce80bac7f3dc |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:20 p.m.