Triple
T13307131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El-Alaki |
E316963
|
entity |
| Predicate | countryISO3166-1Alpha3 |
P43262
|
FINISHED |
| Object | EGY |
E972874
|
NE 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: EGY | Statement: [El-Alaki, countryISO3166-1Alpha3, EGY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EGY Context triple: [El-Alaki, countryISO3166-1Alpha3, EGY]
-
A.
EGY
chosen
EGY is the official FIFA trigramme used to represent the Egypt national football team in international competitions and records.
-
B.
EGYD
EGYD is the ICAO airport code for RAF Cranwell, a Royal Air Force training station in Lincolnshire, England.
-
C.
EGE
EGE is the IATA airport code for Eagle County Regional Airport, a commercial airport serving the Vail and Eagle Valley region in Colorado, USA.
-
D.
Egypta
Egypta is a pioneering early 20th-century dance work by Ruth St. Denis that explores stylized interpretations of ancient Egyptian themes and aesthetics.
-
E.
EUG
EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 9, 2026, 9:29 p.m.