Triple
T17093966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casablanca Stock Exchange |
E414792
|
entity |
| Predicate | primaryIndex |
P30921
|
FINISHED |
| Object | MADEX |
E414794
|
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: MADEX | Statement: [Casablanca Stock Exchange, primaryIndex, MADEX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MADEX Context triple: [Casablanca Stock Exchange, primaryIndex, MADEX]
-
A.
MADEX
chosen
MADEX is a major Moroccan stock market index that tracks the performance of continuously listed shares on the Casablanca Stock Exchange.
-
B.
MDAX
MDAX is a German stock market index that tracks the performance of 50 mid-cap companies listed on the Frankfurt Stock Exchange.
-
C.
MAD
MAD is a museum dedicated to contemporary art and design, showcasing innovative and experimental works across various media.
-
D.
MAD
MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
E.
MADSAKI
MADSAKI is a contemporary Japanese artist known for his graffiti-inspired paintings, dark humor, and reinterpretations of pop culture and art historical imagery.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eec0d5c8190806e756aae848ba2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.