Triple
T35436963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent State of Papua New Guinea |
E1024235
|
entity |
| Predicate | countryCode2 |
P203668
|
FINISHED |
| Object | PG |
E1024252
|
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: PG | Statement: [Independent State of Papua New Guinea, countryCode2, PG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCode2 Context triple: [Independent State of Papua New Guinea, countryCode2, PG]
-
A.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
B.
countryCodeMeaning
Indicates the semantic meaning or description associated with a given country code.
-
C.
numericCountryCode
Indicates that a country is associated with a specific numeric code that uniquely identifies it.
-
D.
countryCodePart
Indicates that one entity is a segment or component of a standardized country code associated with another entity.
-
E.
countryCodeLength
Indicates the number of characters that a given country code consists of.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01c303af6081909c229b2c8e91c680 |
completed | May 11, 2026, 11:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836c27d048190b3f86b5bdc8a1b0e |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a01c28ebf54819094318c447d8c7943 |
completed | May 11, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_6a01c302fe4081908ecbff9ae374f80f |
completed | May 11, 2026, 11:52 a.m. |
Created at: May 3, 2026, 4:04 p.m.