Triple
T13897819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Hills |
E334134
|
entity |
| Predicate | nearbyUrbanArea |
P36605
|
FINISHED |
| Object | Constant Spring |
E334133
|
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: Constant Spring | Statement: [Red Hills, nearbyUrbanArea, Constant Spring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constant Spring Context triple: [Red Hills, nearbyUrbanArea, Constant Spring]
-
A.
Constant Spring
chosen
Constant Spring is a suburban community in the Parish of St. Andrew, Jamaica, known for its residential areas, commercial centers, and the major Constant Spring Road corridor.
-
B.
Three Springs
Three Springs is a small rural town in Western Australia known for its grain farming and mining activities.
-
C.
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.
-
D.
The Springs
The Springs is a gated residential community in Dubai known for its landscaped gardens, lakes, and family-friendly townhouses.
-
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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d72c6c819093bf9c43136839d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c720b4988190aee1f1f09877212d |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.