Triple
T692682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NP postcode area |
E13828
|
entity |
| Predicate | code |
P1537
|
FINISHED |
| Object | NP |
E73412
|
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: NP | Statement: [NP postcode area, code, NP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NP Context triple: [NP postcode area, code, NP]
-
A.
NP
NP is the abbreviation commonly used for the National Party, the former ruling political party of apartheid-era South Africa.
-
B.
.np
chosen
.np is the country code top-level domain (ccTLD) assigned to Nepal for use in internet addresses.
-
C.
NIP
NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
-
D.
N
The N is a New York City Subway service that runs along the Broadway Line in Manhattan and connects Queens, Manhattan, and Brooklyn.
-
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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0b05f2c8190876c73db15b489a2 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca7871c81909ea5a4ccb5dcd47d |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.