Triple
T16318395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindt & Sprüngli |
E396229
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
LISN
LISN is the stock ticker symbol for Chocoladefabriken Lindt & Sprüngli AG, the Swiss premium chocolate manufacturer.
|
E1207023
|
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: LISN | Statement: [Lindt & Sprüngli, tickerSymbol, LISN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LISN Context triple: [Lindt & Sprüngli, tickerSymbol, LISN]
-
A.
LIS
LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
-
B.
Lis
Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
-
C.
LISA line
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
-
D.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
-
E.
LNS
LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
- 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: LISN Triple: [Lindt & Sprüngli, tickerSymbol, LISN]
Generated description
LISN is the stock ticker symbol for Chocoladefabriken Lindt & Sprüngli AG, the Swiss premium chocolate manufacturer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LISN Target entity description: LISN is the stock ticker symbol for Chocoladefabriken Lindt & Sprüngli AG, the Swiss premium chocolate manufacturer.
-
A.
LIS
LIS is the three-letter IATA airport code for Humberto Delgado Airport, the main international airport serving Lisbon, Portugal.
-
B.
Lis
Lis is a diminutive form of the given name Lisa, commonly used as a short or affectionate variant.
-
C.
LISA line
The LISA line is a route of the CDGVAL automated people mover system serving Paris Charles de Gaulle Airport.
-
D.
LNS
LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
-
E.
LNS
LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b3e3e081908a996b3e57ca4e32 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002606f0e0819081f50dae9e6b7a0d |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00275e44d481909bed62779ea9a0d7 |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0027f99d948190b22812f0c9a2c0ff |
completed | May 10, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:06 a.m.