Triple
T17761779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bisalpur Dam |
E443393
|
entity |
| Predicate | suppliesWaterTo |
P4102
|
FINISHED |
| Object | Tonk |
E764139
|
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: Tonk | Statement: [Bisalpur Dam, suppliesWaterTo, Tonk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonk Context triple: [Bisalpur Dam, suppliesWaterTo, Tonk]
-
A.
Tonk
chosen
Tonk is a historic town in the Indian state of Rajasthan, known for its rich Indo-Islamic architectural heritage and cultural significance.
-
B.
Vadtal Gadi
Vadtal Gadi is a major diocesan seat of the Swaminarayan Sampradaya that oversees and administers numerous Swaminarayan temples and religious activities.
-
C.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
-
D.
Tonka
Tonka is a 1958 Walt Disney Western film about a young Sioux boy and his horse, set around the events of the Battle of the Little Bighorn.
-
E.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f7a8e08190a4a6b8368b70c381 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efbcd5948190882b2a138c064f3a |
completed | May 12, 2026, 9:15 a.m. |
Created at: April 10, 2026, 10:11 a.m.