Triple
T11599694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Republic |
E275096
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.it
.it is the country-code top-level domain (ccTLD) assigned to Italy and used primarily by Italian individuals, businesses, and organizations for their websites.
|
E936132
|
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: .it | Statement: [Italian Republic, internetTLD, .it]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .it Context triple: [Italian Republic, internetTLD, .it]
-
A.
ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
-
B.
ITA
ITA is the FIFA trigramme used to represent Italy in international football competitions.
-
C.
ITA
ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
-
D.
Italian Wikivoyage
Italian Wikivoyage is the Italian-language edition of the collaborative, free travel guide project hosted by the Wikimedia Foundation.
-
E.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
- 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: .it Triple: [Italian Republic, internetTLD, .it]
Generated description
.it is the country-code top-level domain (ccTLD) assigned to Italy and used primarily by Italian individuals, businesses, and organizations for their websites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .it Target entity description: .it is the country-code top-level domain (ccTLD) assigned to Italy and used primarily by Italian individuals, businesses, and organizations for their websites.
-
A.
ITA
ITA is the commonly used abbreviation for the Intercollegiate Tennis Association, the governing body for college tennis in the United States.
-
B.
ITA
ITA is a U.S. government agency within the Department of Commerce that promotes American exports, ensures fair trade, and supports U.S. businesses in the global marketplace.
-
C.
ITA
ITA is the FIFA trigramme used to represent Italy in international football competitions.
-
D.
Italian Wikivoyage
Italian Wikivoyage is the Italian-language edition of the collaborative, free travel guide project hosted by the Wikimedia Foundation.
-
E.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8954c3c248190bcccd4c7ff667b3a |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7dd83d48190b281a6fcfc3e4087 |
completed | April 22, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69e8af93e07c8190aecb040cac6db146 |
completed | April 22, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ee5b254a2081909cba97a6ecb10601 |
completed | April 26, 2026, 6:36 p.m. |
Created at: April 8, 2026, 9:38 p.m.