Triple
T6348372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvarnagiri |
E142802
|
entity |
| Predicate | meaningOfName |
P1966
|
FINISHED |
| Object | Golden Mountain |
E547588
|
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: Golden Mountain | Statement: [Suvarnagiri, meaningOfName, Golden Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golden Mountain Context triple: [Suvarnagiri, meaningOfName, Golden Mountain]
-
A.
Golden Mountain
chosen
Golden Mountain is the English meaning of "Altyn-Tagh," referring to the prominent mountain range in northwestern China known for its mineral-rich, golden-hued landscapes.
-
B.
Golden Pan
The Golden Pan is a prestigious literary award recognizing authors whose books have achieved significant commercial success, often marked by high sales milestones.
-
C.
Gold Mine
"Gold Mine" is a thriller novel by Wilbur Smith that centers on power struggles, greed, and danger in the South African gold mining industry.
-
D.
China Hill
China Hill is a small unincorporated rural community located in Telfair County, Georgia, United States.
-
E.
Gold Mine Town
Gold Mine Town is a themed attraction area in Shenzhen’s Happy Valley amusement park designed to resemble a historic gold-mining frontier town.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067bba1988190b51f0a22e4279e1b |
completed | March 22, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6044b33fc8190a214c6615d072715 |
completed | March 27, 2026, 4:15 a.m. |
Created at: March 22, 2026, 4:31 p.m.