Triple
T806691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadeloupe |
E17452
|
entity |
| Predicate | ISO3166-1Alpha3 |
P189
|
FINISHED |
| Object |
GLP
GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
|
E96757
|
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: GLP | Statement: [Guadeloupe, ISO3166-1Alpha3, GLP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLP Context triple: [Guadeloupe, ISO3166-1Alpha3, GLP]
-
A.
GLT
GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
-
B.
CLP
CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
-
C.
GLS
The Mercedes-Benz GLS is a full-size luxury SUV known for its spacious three-row interior, advanced technology, and high-end comfort and performance.
-
D.
GPC
GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
-
E.
glo
glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
- 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: GLP Triple: [Guadeloupe, ISO3166-1Alpha3, GLP]
Generated description
GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GLP Target entity description: GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
-
A.
GLT
GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
-
B.
CLP
CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
-
C.
GLS
The Mercedes-Benz GLS is a full-size luxury SUV known for its spacious three-row interior, advanced technology, and high-end comfort and performance.
-
D.
GPC
GPC is the GNU Pascal Compiler, a free, open-source Pascal compiler that is part of the GNU Compiler Collection (GCC) project.
-
E.
glo
glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a77fca11a88190ac74840fc6678cc4 |
completed | March 4, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7805555388190a22fa3000eb2a717 |
completed | March 4, 2026, 12:44 a.m. |
Created at: March 1, 2026, 7:38 p.m.