Triple
T530766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National People's Congress |
E12216
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NPC |
E66102
|
NE FINISHED |
How this triple was built (2 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: NPC | Statement: [National People's Congress, abbreviation, NPC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NPC Context triple: [National People's Congress, abbreviation, NPC]
-
A.
NPC
chosen
The NPC is the commonly used abbreviation for the National People's Congress, the national legislature and highest organ of state power in the People's Republic of China.
-
B.
PV
PV is the post-nominal abbreviation used to denote recipients of the Padma Vibhushan, one of India’s highest civilian honors.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
NCP
NCP (Network Control Protocol) was an early host-to-host communication protocol suite that enabled data exchange between computers on the ARPANET before the adoption of TCP/IP.
-
E.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494dda58c8190870305056838a2b2 |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8add810819095f071caca108e10 |
completed | March 1, 2026, 10:07 p.m. |
Created at: March 1, 2026, 7:32 p.m.