Triple
T14963045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC4 |
E373113
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | EC4Y |
E373113
|
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: EC4Y | Statement: [EC4, hasSubdivision, EC4Y]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EC4Y Context triple: [EC4, hasSubdivision, EC4Y]
-
A.
EC4
chosen
EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
-
B.
EYKA
EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
-
C.
EC1N
EC1N is a central London postcode district covering parts of the Holborn and Farringdon areas, known for its mix of legal, commercial, and residential properties.
-
D.
E45
E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
-
E.
EYD
EYD is the commonly used abbreviation for "Ejaan Yang Disempurnakan," the standardized Indonesian spelling system officially adopted in Indonesia.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.