Triple
T15495802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiayi County |
E378812
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Puzi City
Puzi City is an urban township in southwestern Taiwan known for its cultural heritage and its location within Chiayi County.
|
E1161171
|
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: Puzi City | Statement: [Chiayi County, contains, Puzi City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puzi City Context triple: [Chiayi County, contains, Puzi City]
-
A.
Chibi City
Chibi City is a county-level city in southeastern Hubei Province, China, historically known as the site of the famous Battle of Red Cliffs.
-
B.
Yoron Town
Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
-
C.
Gup City
Gup City is a fantastical, talkative metropolis of light and open debate in Salman Rushdie’s novel "Haroun and the Sea of Stories."
-
D.
Pegu City
Pegu City is a historic urban center in Myanmar, known for its ancient Buddhist temples and role as a former capital of the Mon Kingdom.
-
E.
Xigazê City
Xigazê City is a major prefecture-level city in the Tibet Autonomous Region of China, known as an important political, economic, and cultural center and a gateway to Mount Everest.
- 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: Puzi City Triple: [Chiayi County, contains, Puzi City]
Generated description
Puzi City is an urban township in southwestern Taiwan known for its cultural heritage and its location within Chiayi County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puzi City Target entity description: Puzi City is an urban township in southwestern Taiwan known for its cultural heritage and its location within Chiayi County.
-
A.
Chibi City
Chibi City is a county-level city in southeastern Hubei Province, China, historically known as the site of the famous Battle of Red Cliffs.
-
B.
Yoron Town
Yoron Town is a small island municipality in Kagoshima Prefecture, Japan, known for its subtropical climate, coral reefs, and white-sand beaches.
-
C.
Gup City
Gup City is a fantastical, talkative metropolis of light and open debate in Salman Rushdie’s novel "Haroun and the Sea of Stories."
-
D.
Pegu City
Pegu City is a historic urban center in Myanmar, known for its ancient Buddhist temples and role as a former capital of the Mon Kingdom.
-
E.
Xigazê City
Xigazê City is a major prefecture-level city in the Tibet Autonomous Region of China, known as an important political, economic, and cultural center and a gateway to Mount Everest.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3662f3388190b75ffe3ce418f36d |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff36e2172c8190a95b0957d99f304f |
completed | May 9, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff375bfd648190967746050fcd48b2 |
completed | May 9, 2026, 1:32 p.m. |
Created at: April 10, 2026, 3:52 a.m.