Triple
T13434055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lejweleputswa District Municipality |
E320183
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Hennenman
Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
|
E1040729
|
NE FINISHED |
How this triple was built (4 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: Hennenman | Statement: [Lejweleputswa District Municipality, hasMajorTown, Hennenman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hennenman Context triple: [Lejweleputswa District Municipality, hasMajorTown, Hennenman]
-
A.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
-
B.
Hedebrant
Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
-
C.
Hannum
Hannum is a surname most notably associated with Alex Hannum, a Hall of Fame American basketball coach and former player.
-
D.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
E.
Hanem
Hanem is an Ottoman-era honorific title used for women of high social standing, similar to "lady" or "madam."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hennenman Triple: [Lejweleputswa District Municipality, hasMajorTown, Hennenman]
Generated description
Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hennenman Target entity description: Hennenman is a small town in South Africa’s Free State province, situated within the Lejweleputswa District and known historically for its links to the regional mining and agricultural economy.
-
A.
Henniez
Henniez is a small municipality in the canton of Vaud, Switzerland, best known for its natural mineral water brand of the same name.
-
B.
Hedebrant
Hedebrant is a Swedish surname most notably borne by actor Kåre Hedebrant, known for his role in the film "Let the Right One In."
-
C.
Hannum
Hannum is a surname most notably associated with Alex Hannum, a Hall of Fame American basketball coach and former player.
-
D.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
E.
Hanem
Hanem is an Ottoman-era honorific title used for women of high social standing, similar to "lady" or "madam."
- F. None of above. chosen
Provenance (5 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.