Triple
T3210652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noyyal |
E67271
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Nallaru |
E337850
|
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: Nallaru | Statement: [Noyyal, hasTributary, Nallaru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nallaru Context triple: [Noyyal, hasTributary, Nallaru]
-
A.
Chamundi Hill
Chamundi Hill is a prominent hill and pilgrimage site overlooking Mysuru, known for its ancient Chamundeshwari Temple and panoramic views of the city.
-
B.
Kanchimanadhi
chosen
Kanchimanadhi is a minor river in Tamil Nadu, India, known primarily as a tributary contributing to the Noyyal River system.
-
C.
Paektu Mountain
Paektu Mountain is a volcanic peak on the border of North Korea and China, revered in Korean culture and history and known for its large crater lake, Heaven Lake.
-
D.
Mount Sannine
Mount Sannine is a prominent mountain in central Lebanon, known for its snow-capped peaks, scenic landscapes, and popularity as a destination for hiking and winter sports.
-
E.
Mount Halhul
Mount Halhul is a prominent peak in the southern West Bank near the town of Halhul, known for its elevation and strategic views over the surrounding Judean landscape.
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaab886c48190b72e36d0ac855ffe |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2771204e0819086ae2838a368589a |
completed | March 12, 2026, 8:19 a.m. |
Created at: March 8, 2026, 3:07 p.m.