Triple
T7309198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganeriwala |
E168048
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ganweriwala |
E168048
|
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: Ganweriwala | Statement: [Ganeriwala, hasAlternativeName, Ganweriwala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganweriwala Context triple: [Ganeriwala, hasAlternativeName, Ganweriwala]
-
A.
Ganeriwala
chosen
Ganeriwala is an archaeological site associated with the ancient Indus Valley Civilization, located in present-day Pakistan.
-
B.
Ganaur
Ganaur is a town in the northern Indian state of Haryana, known for its agricultural markets and proximity to major transport routes connecting it to Delhi and other regional centers.
-
C.
Harlakhi
Harlakhi is a town in the Madhubani district of Bihar, India, known for its proximity to the India–Nepal border and its association with the Mithila region.
-
D.
Gurdit
Gurdit is the given name of Baba Gurdit Singh, a prominent Sikh activist best known for chartering the Komagata Maru in 1914 to challenge racist immigration laws in Canada.
-
E.
Gurk
Gurk is a river in southern Austria that flows through Carinthia before joining the Drava.
- 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebda7b748190a230a22ecea79342 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e567df3c8190a1baaa7ef9c99d87 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.