Triple
T17992198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etisalat |
E430399
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | ETISALAT |
—
|
NE NERFINISHED |
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: ETISALAT | Statement: [Etisalat, tickerSymbol, ETISALAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ETISALAT Context triple: [Etisalat, tickerSymbol, ETISALAT]
-
A.
Etisalat
chosen
Etisalat is a major telecommunications company based in the United Arab Emirates, known for providing mobile, internet, and digital services across the Middle East, Africa, and Asia.
-
B.
Telenor
Telenor is a major Norwegian telecommunications company that provides mobile, broadband, and digital services across Scandinavia and multiple international markets.
-
C.
Saima Telecom
Saima Telecom is a leading internet service provider in Kyrgyzstan, offering broadband connectivity and related telecommunications services across the country.
-
D.
Sogetel
Sogetel is a film and television production company known for producing European, particularly French-language, cinematic works.
-
E.
Saudi Telecom Company (stc)
Saudi Telecom Company (stc) is Saudi Arabia’s leading telecommunications and digital services provider, offering mobile, fixed-line, internet, and ICT solutions across the Kingdom and regional markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29fd7648190b7f09ea60c7b96a8 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.