Triple
T23322259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahadayi River |
E591182
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Haltar Nalla |
—
|
NE NERFINISHED |
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: Haltar Nalla | Statement: [Mahadayi River, hasTributary, Haltar Nalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haltar Nalla Context triple: [Mahadayi River, hasTributary, Haltar Nalla]
-
A.
Haltar Nadi
chosen
Haltar Nadi is a smaller river in the Indian state of Goa that serves as one of the tributaries feeding the Mhadei River system.
-
B.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
C.
Malinalli
Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
-
D.
Nallu
Nallu is a small settlement located on Mili Atoll in the Marshall Islands.
-
E.
Ethir Neechal
Ethir Neechal is a 2013 Tamil-language comedy-drama film that follows an underdog's journey to prove himself through marathon running.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.