Triple
T10613736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panj Kakke |
E276067
|
entity |
| Predicate | consistsOf |
P1393
|
FINISHED |
| Object | Kangha |
E276057
|
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: Kangha | Statement: [Panj Kakke, consistsOf, Kangha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangha Context triple: [Panj Kakke, consistsOf, Kangha]
-
A.
Kangha
chosen
Kangha is a small wooden comb that serves as one of the Five Ks in Sikhism, symbolizing cleanliness and discipline for initiated Sikhs.
-
B.
Kangar
Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
-
C.
Kwangde
Kwangde is a prominent Himalayan mountain massif in Nepal’s Khumbu region, known for its steep faces and challenging climbing routes.
-
D.
Kango
Kango is a town in western Gabon known as a transport hub along the N1 road and a gateway between the capital Libreville and the interior regions.
-
E.
Kashin
Kashin is a historic town in western Russia known for its medieval heritage and location along the Kashinka River.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5ca94c8190aa3771925913defc |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b716a088190b84982f1a8173e0a |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:33 p.m.