Triple
T10282255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brakpan |
E241129
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Springs |
E53070
|
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: Springs | Statement: [Brakpan, locatedNear, Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Springs Context triple: [Brakpan, locatedNear, Springs]
-
A.
Springs
chosen
Springs is an industrial and residential city on the East Rand in Gauteng, South Africa, historically known for gold mining and manufacturing.
-
B.
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.
-
C.
The Springs
The Springs is a gated residential community in Dubai known for its landscaped gardens, lakes, and family-friendly townhouses.
-
D.
Springsure
Springsure is a small rural town in Queensland, Australia, known for its agricultural economy and proximity to scenic sandstone ranges and national parks.
-
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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8352a108190b3692a2de3cb4dea |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:39 a.m.