Triple
T7993046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorhat district |
E186054
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Mariani |
E667656
|
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: Mariani | Statement: [Jorhat district, hasMajorTown, Mariani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariani Context triple: [Jorhat district, hasMajorTown, Mariani]
-
A.
Mariani
chosen
Mariani is a town in Assam, India, known as a key railway hub in the region.
-
B.
Marianelli
Marianelli is an Italian surname most notably associated with Academy Award–winning film composer Dario Marianelli.
-
C.
Mestra
Mestra is a figure in Greek mythology, daughter of King Erysichthon, known for being granted the power of shape-shifting by Poseidon.
-
D.
Forlani
Forlani is an Italian surname most notably associated with English actress Claire Forlani.
-
E.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c729afc81909d477b1623ac3f9d |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc568ac4e88190b63b4d57c3bd3205 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:16 p.m.