Triple
T14840657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neelum River |
E348952
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Kel |
E1011529
|
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: Kel | Statement: [Neelum River, flowsThrough, Kel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kel Context triple: [Neelum River, flowsThrough, Kel]
-
A.
Kel
chosen
Kel is a scenic mountain village in Pakistan-administered Azad Kashmir, known as a popular tourist stop in the Neelum Valley for its lush landscapes and trekking access.
-
B.
Ke
Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
-
C.
Kar
Kar is the young, streetwise pickpocket chosen as the reluctant successor to a mystical protector in the action film "Bulletproof Monk."
-
D.
KEN
KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
-
E.
kees
kees is the GitHub username of Kees Cook, a prominent Linux kernel developer and security engineer known for his work on hardening and exploit mitigation.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a9eb9481908ca509f484007cf6 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:53 a.m.