Triple
T9921401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thamserku |
E187803
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Thamserku 6610 |
E187803
|
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: Thamserku 6610 | Statement: [Thamserku, hasAlternativeName, Thamserku 6610]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thamserku 6610 Context triple: [Thamserku, hasAlternativeName, Thamserku 6610]
-
A.
Thamserku
chosen
Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
-
B.
Tuder
Tuder was an important ancient Umbrian settlement in central Italy, known today as the hilltop town of Todi.
-
C.
Tzurulum
Tzurulum is the historical name of the modern Turkish city of Çorlu, a long-inhabited settlement in Eastern Thrace.
-
D.
Thorobred
Thorobred is the racehorse-themed mascot representing Kentucky State University’s athletic teams.
-
E.
Tukker
Tukker is a given name or surname that functions as a variant spelling of the name Tucker.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56abbb88190a21b8b77f1a25b81 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e019f788190a0106b60c8a39efa |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:42 p.m.