Triple
T14822942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Croatia |
E348499
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.hr
.hr is the country code top-level domain (ccTLD) assigned to Croatia for use in internet addresses.
|
E1122910
|
NE FINISHED |
How this triple was built (4 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: .hr | Statement: [Republic of Croatia, internetTLD, .hr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .hr Context triple: [Republic of Croatia, internetTLD, .hr]
-
A.
IN-HR
IN-HR is the ISO 3166-2 code representing the Indian state of Haryana.
-
B.
HRK
HRK is the three-letter IATA airport code for Kharkiv International Airport in Kharkiv, Ukraine.
-
C.
HRK
HRK is the German Rectors' Conference, a voluntary association representing the interests of universities and other higher education institutions in Germany.
-
D.
HRMD
HRMD is the abbreviated name commonly used for a Human Resources Management Department within an organization.
-
E.
HRP
HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: .hr Triple: [Republic of Croatia, internetTLD, .hr]
Generated description
.hr is the country code top-level domain (ccTLD) assigned to Croatia for use in internet addresses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .hr Target entity description: .hr is the country code top-level domain (ccTLD) assigned to Croatia for use in internet addresses.
-
A.
IN-HR
IN-HR is the ISO 3166-2 code representing the Indian state of Haryana.
-
B.
HRK
HRK is the three-letter IATA airport code for Kharkiv International Airport in Kharkiv, Ukraine.
-
C.
HRK
HRK is the German Rectors' Conference, a voluntary association representing the interests of universities and other higher education institutions in Germany.
-
D.
HRMD
HRMD is the abbreviated name commonly used for a Human Resources Management Department within an organization.
-
E.
HRP
HRP is a high-level long-distance hiking route that traverses the Pyrenees along or near the French–Spanish border from the Atlantic Ocean to the Mediterranean Sea.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe7a8dc8190bcb5ecfa1cbf1601 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389d7c848190813be06bed7813d7 |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe5bc7e6848190a243bcfccaea3a37 |
completed | May 8, 2026, 9:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe5c271c6c8190bb4127cdf8af6647 |
completed | May 8, 2026, 9:56 p.m. |
Created at: April 10, 2026, 1:51 a.m.