Triple
T22713094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HU-23 |
E561652
|
entity |
| Predicate | numericCountryCode |
P149414
|
FINISHED |
| Object | 348 |
—
|
LITERAL 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: 348 | Statement: [HU-23, numericCountryCode, 348]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numericCountryCode Context triple: [HU-23, numericCountryCode, 348]
-
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.
countryCodeLength
Indicates the number of characters that a given country code consists of.
-
D.
internationalCode
Indicates that there is a standardized internationally recognized code assigned to represent the referenced entity in global contexts.
-
E.
UICCountryCode
Indicates that an entity is associated with a specific country identified by its UIC (International Union of Railways) country code.
- F. None of above. chosen
Provenance (4 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1790ab6208190a342f076002324ab |
completed | April 29, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:18 p.m.