Triple
T14628037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neihu District |
E343403
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object |
Neihu
Neihu is a district in northeastern Taipei, Taiwan, known for its technology parks, residential neighborhoods, and scenic lakeside and hillside areas.
|
E1110969
|
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: Neihu | Statement: [Neihu District, hasRomanization, Neihu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neihu Context triple: [Neihu District, hasRomanization, Neihu]
-
A.
Niefang
Niefang is a town in Equatorial Guinea located in the mainland province of Centro Sur.
-
B.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
-
C.
Huili
Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
-
D.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
E.
Dunhua
Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
- 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: Neihu Triple: [Neihu District, hasRomanization, Neihu]
Generated description
Neihu is a district in northeastern Taipei, Taiwan, known for its technology parks, residential neighborhoods, and scenic lakeside and hillside areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neihu Target entity description: Neihu is a district in northeastern Taipei, Taiwan, known for its technology parks, residential neighborhoods, and scenic lakeside and hillside areas.
-
A.
Niefang
Niefang is a town in Equatorial Guinea located in the mainland province of Centro Sur.
-
B.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
-
C.
Huili
Huili was a Buddhist monk traditionally credited with establishing the renowned Lingyin Temple in Hangzhou, China.
-
D.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
E.
Dunhua
Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92c25ac8190ba931c009e7ace19 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb7e5aa6481908d4933e3932c5d03 |
completed | May 8, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb841f3a88190867c635950a1492c |
completed | May 8, 2026, 10:17 a.m. |
Created at: April 10, 2026, 1:26 a.m.