Triple
T15665026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Taipei City Council |
E377164
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
NTCC
NTCC is the abbreviated name of the New Taipei City Council, the legislative body governing New Taipei City in Taiwan.
|
E1169902
|
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: NTCC | Statement: [New Taipei City Council, shortName, NTCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTCC Context triple: [New Taipei City Council, shortName, NTCC]
-
A.
NCC
NCC is Nigeria’s independent regulatory authority for the telecommunications industry, overseeing licensing, competition, and consumer protection in the sector.
-
B.
NCC
NCC is an abbreviation commonly used for a Network Control Center, the facility responsible for monitoring and managing a communications or computer network’s operations.
-
C.
TAMCC
TAMCC is a tertiary-level institution in Grenada offering a range of academic, technical, and vocational programs.
-
D.
NTTA
NTTA is the regional agency responsible for planning, building, operating, and maintaining toll roads and related transportation infrastructure in the North Texas area.
-
E.
NBSTCC
NBSTCC is a marine conservation organization focused on rescuing, rehabilitating, and educating the public about sea turtles along Florida’s Navarre Beach.
- 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: NTCC Triple: [New Taipei City Council, shortName, NTCC]
Generated description
NTCC is the abbreviated name of the New Taipei City Council, the legislative body governing New Taipei City in Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NTCC Target entity description: NTCC is the abbreviated name of the New Taipei City Council, the legislative body governing New Taipei City in Taiwan.
-
A.
NCC
NCC is Nigeria’s independent regulatory authority for the telecommunications industry, overseeing licensing, competition, and consumer protection in the sector.
-
B.
NCC
NCC is an abbreviation commonly used for a Network Control Center, the facility responsible for monitoring and managing a communications or computer network’s operations.
-
C.
TAMCC
TAMCC is a tertiary-level institution in Grenada offering a range of academic, technical, and vocational programs.
-
D.
NTTA
NTTA is the regional agency responsible for planning, building, operating, and maintaining toll roads and related transportation infrastructure in the North Texas area.
-
E.
NBSTCC
NBSTCC is a marine conservation organization focused on rescuing, rehabilitating, and educating the public about sea turtles along Florida’s Navarre Beach.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68af38848190975e374b2c8c917b |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.