Triple
T16052590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swartland Local Municipality |
E389391
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Moorreesburg |
E951110
|
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: Moorreesburg | Statement: [Swartland Local Municipality, contains, Moorreesburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moorreesburg Context triple: [Swartland Local Municipality, contains, Moorreesburg]
-
A.
Moorreesburg
chosen
Moorreesburg is a small agricultural town in South Africa’s Western Cape known for its wheat farming and role as an administrative center in the region.
-
B.
Murrhardt
Murrhardt is a small historic town in the state of Baden-Württemberg in southwestern Germany, known for its scenic location in the Swabian-Franconian Forest.
-
C.
Arensburg
Arensburg is the former German name for Kuressaare, a historic town and seaside resort on Saaremaa Island in Estonia.
-
D.
Hofstadt
Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
-
E.
Morrisburg
Morrisburg is a small community in eastern Ontario, Canada, located along the St. Lawrence River and known for its historical sites and riverside setting.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183627bd88190bf94054de13a7733 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe2d87c8190ba7f16feb018e70c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.