Triple
T10084103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelantan River |
E215175
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Tanah Merah |
E205058
|
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: Tanah Merah | Statement: [Kelantan River, flowsThrough, Tanah Merah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanah Merah Context triple: [Kelantan River, flowsThrough, Tanah Merah]
-
A.
Tanah Merah
chosen
Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
-
B.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
C.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
D.
Tantamani
Tantamani was a Kushite king of the 25th Dynasty of Egypt, known for his brief attempt to restore Nubian control over Egypt before being driven back by the Assyrians.
-
E.
Murau
Murau is a historic small town in the Austrian Alps known for its medieval architecture, timber industry, and popular nearby ski and hiking areas.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd044c1ec8190b5b48cdb0584d00c |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b675f4b08190bd8285f210191b93 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.