Triple
T11414194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid West |
E270446
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Three Springs |
E924281
|
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: Three Springs | Statement: [Mid West, containsTown, Three Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Three Springs Context triple: [Mid West, containsTown, Three Springs]
-
A.
Three Springs
chosen
Three Springs is a small rural town in Western Australia known for its grain farming and mining activities.
-
B.
Crystal Springs
Crystal Springs is a natural spring in Nevada that serves as a key water source for the Pahranagat Valley’s desert oasis ecosystem.
-
C.
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.
-
D.
The Springs
The Springs is a themed accommodation area within Disney's Saratoga Springs Resort & Spa at Walt Disney World, styled after historic New York mineral spring retreats.
-
E.
The Springs
The Springs is a gated residential community in Dubai known for its landscaped gardens, lakes, and family-friendly townhouses.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801acd9bc81908a23b1b7b4e778d3 |
completed | April 9, 2026, 7:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d352283c8190b3ae7cefbd3bd5da |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:34 p.m.