Triple
T19609419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Province, Zambia |
E470689
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Chadiza
Chadiza is a small rural town in eastern Zambia that serves as a local administrative and trading center for the surrounding agricultural region.
|
E1386517
|
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: Chadiza | Statement: [Eastern Province, Zambia, hasTown, Chadiza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chadiza Context triple: [Eastern Province, Zambia, hasTown, Chadiza]
-
A.
Dschang
Dschang is a city in western Cameroon known as an important educational and cultural center, home to the University of Dschang and a mild highland climate.
-
B.
Chadlia
Chadlia is a feminine given name most notably borne by Chadlia Saïda Farhat, the former First Lady of Tunisia.
-
C.
Chala
Chala is an alternative name for the individual known as Ron.
-
D.
Niiza
Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
E.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
- 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: Chadiza Triple: [Eastern Province, Zambia, hasTown, Chadiza]
Generated description
Chadiza is a small rural town in eastern Zambia that serves as a local administrative and trading center for the surrounding agricultural region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chadiza Target entity description: Chadiza is a small rural town in eastern Zambia that serves as a local administrative and trading center for the surrounding agricultural region.
-
A.
Dschang
Dschang is a city in western Cameroon known as an important educational and cultural center, home to the University of Dschang and a mild highland climate.
-
B.
Chadlia
Chadlia is a feminine given name most notably borne by Chadlia Saïda Farhat, the former First Lady of Tunisia.
-
C.
Chala
Chala is an alternative name for the individual known as Ron.
-
D.
Niiza
Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
E.
Chambo
Chambo is a small town in central Ecuador known for its agricultural activities and proximity to the Andean highlands.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ca57a081909c05000fca52271f |
completed | April 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771afb2708190b46a002a5c4c4252 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a07736d8990819081b3ba34f1d3600e |
completed | May 15, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773f9f8148190822ed74d83fdac97 |
completed | May 15, 2026, 7:28 p.m. |
Created at: April 10, 2026, 1:43 p.m.