Triple
T14916139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knoll |
E371386
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
KNL
KNL is the stock ticker symbol for Knoll, an American company known for its modern furniture and workplace design solutions.
|
E1126764
|
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: KNL | Statement: [Knoll, tickerSymbol, KNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNL Context triple: [Knoll, tickerSymbol, KNL]
-
A.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
B.
KNH
KNH is the IATA airport code for Kinmen Airport, which serves Kinmen Island off the coast of southeastern China and is administered by Taiwan.
-
C.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
D.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
-
E.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
- 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: KNL Triple: [Knoll, tickerSymbol, KNL]
Generated description
KNL is the stock ticker symbol for Knoll, an American company known for its modern furniture and workplace design solutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNL Target entity description: KNL is the stock ticker symbol for Knoll, an American company known for its modern furniture and workplace design solutions.
-
A.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
B.
KNH
KNH is the IATA airport code for Kinmen Airport, which serves Kinmen Island off the coast of southeastern China and is administered by Taiwan.
-
C.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
D.
KNA
KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
-
E.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62038508190946499cd3552990e |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bf2120819099df39bdc1da691b |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 2:31 a.m.