Triple
T13307130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El-Alaki |
E316963
|
entity |
| Predicate | countryISO3166-1Alpha2 |
P19525
|
FINISHED |
| Object |
EG
EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
|
E1032109
|
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: EG | Statement: [El-Alaki, countryISO3166-1Alpha2, EG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EG Context triple: [El-Alaki, countryISO3166-1Alpha2, EG]
-
A.
EG
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
-
B.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
C.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
D.
GER
GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
-
E.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
- 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: EG Triple: [El-Alaki, countryISO3166-1Alpha2, EG]
Generated description
EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EG Target entity description: EG is the ISO 3166-1 alpha-2 country code for Egypt, a transcontinental nation in North Africa and the Middle East known for its ancient civilization and monuments like the Pyramids of Giza.
-
A.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
B.
EG
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
-
C.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
D.
GER
GER is the IATA airport code for Rafael Cabrera Mustelier Airport, which serves Nueva Gerona on Cuba’s Isla de la Juventud.
-
E.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.