Triple
T17330548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soufrière Quarter |
E420802
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Sulphur Springs |
—
|
NE ONNED1 |
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: Sulphur Springs | Statement: [Soufrière Quarter, knownFor, Sulphur Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sulphur Springs Context triple: [Soufrière Quarter, knownFor, Sulphur Springs]
-
A.
Sulphur Springs
chosen
Sulphur Springs is a famous geothermal area in Saint Lucia known for its bubbling hot springs, volcanic features, and popular “drive-in volcano” attraction.
-
B.
Shingle Springs
Shingle Springs is a small unincorporated community in Northern California known for its Gold Rush-era history and rural, foothill setting.
-
C.
Catoosa Springs
Catoosa Springs is a historic mineral springs resort area in northwest Georgia that was once a popular 19th-century health and vacation destination.
-
D.
Soda Springs
Soda Springs was the former name of the small Mojave Desert community now known as Zzyzx, California, historically associated with mineral springs and a health spa.
-
E.
Stone Spring
Stone Spring is a science fiction novel by Stephen Baxter that reimagines prehistoric Britain facing a catastrophic sea-level rise and the resulting struggle for survival and adaptation.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d5c788819092bdc4d3de0ec958 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019550d3bc8190bda76e83edc81063 |
finalizing | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.