Triple
T12918581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metsimaholo Local Municipality |
E309053
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Oranjeville |
E1016577
|
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: Oranjeville | Statement: [Metsimaholo Local Municipality, hasTown, Oranjeville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oranjeville Context triple: [Metsimaholo Local Municipality, hasTown, Oranjeville]
-
A.
Oranjeville
chosen
Oranjeville is a small town in South Africa’s Free State province, situated near the Vaal Dam and known for its rural character and waterside recreation.
-
B.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
C.
Ollainville
Ollainville is a commune in the Essonne department in the Île-de-France region of northern France.
-
D.
Neuvilly
Neuvilly is a commune in northern France located within the Nord department in the Hauts-de-France region.
-
E.
Sury-en-Vaux
Sury-en-Vaux is a small rural commune in the Cher department of central France, known for its vineyards and traditional countryside 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbccbd08190869d8de09797bc6a |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:41 p.m.