Triple
T15754963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIB30 |
E381943
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | MIB 30 Index |
E381943
|
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: MIB 30 Index | Statement: [MIB30, fullName, MIB 30 Index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIB 30 Index Context triple: [MIB30, fullName, MIB 30 Index]
-
A.
MIB30
chosen
MIB30 was a former benchmark stock market index of the Italian equity market, comprising 30 of the most liquid and capitalized companies listed on the Borsa Italiana.
-
B.
MIB
MIB is the vehicle registration code used on license plates for vehicles registered in the Miesbach district of Bavaria, Germany.
-
C.
MIB-I
MIB-I is the original version of the Management Information Base used with the SNMP protocol to define standard network management data objects.
-
D.
KMI-30 Index
The KMI-30 Index is a benchmark stock market index on the Pakistan Stock Exchange that tracks the performance of 30 leading Shariah-compliant companies.
-
E.
TA-35 Index
The TA-35 Index is the flagship Israeli stock market index, tracking the performance of the 35 largest and most liquid companies listed on the Tel Aviv Stock Exchange.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:47 a.m.