Triple
T16426096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sobhuza II |
E398946
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Zombodze
Zombodze is a royal settlement in Eswatini historically associated with the Swazi monarchy and the birthplace of King Sobhuza II.
|
E1212074
|
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: Zombodze | Statement: [Sobhuza II, placeOfBirth, Zombodze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zombodze Context triple: [Sobhuza II, placeOfBirth, Zombodze]
-
A.
Zombor
Zombor is a historic town in present-day Serbia that once served as an important administrative and cultural center in the Habsburg-era Kingdom of Hungary.
-
B.
Zombi
Zombi is the Italian title and cut of George A. Romero’s 1978 horror film "Dawn of the Dead," notable for its graphic gore and influential role in zombie cinema.
-
C.
Xombi
Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
-
D.
Gehina
Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
-
E.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
- 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: Zombodze Triple: [Sobhuza II, placeOfBirth, Zombodze]
Generated description
Zombodze is a royal settlement in Eswatini historically associated with the Swazi monarchy and the birthplace of King Sobhuza II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zombodze Target entity description: Zombodze is a royal settlement in Eswatini historically associated with the Swazi monarchy and the birthplace of King Sobhuza II.
-
A.
Zombor
Zombor is a historic town in present-day Serbia that once served as an important administrative and cultural center in the Habsburg-era Kingdom of Hungary.
-
B.
Zombi
Zombi is the Italian title and cut of George A. Romero’s 1978 horror film "Dawn of the Dead," notable for its graphic gore and influential role in zombie cinema.
-
C.
Xombi
Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
-
D.
Gehina
Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
-
E.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328faa7448190a2606f1b37ea0a3d |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c7273e48190b0668948141cf30b |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003ef320e4819094cfa05fc1a40cbd |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00404955f88190a4863f8527a69d6f |
completed | May 10, 2026, 8:22 a.m. |
Created at: April 10, 2026, 5:09 a.m.