Triple

T17093435
Position Surface form Disambiguated ID Type / Status
Subject NewLink Genetics E414780 entity
Predicate tickerSymbol P1447 FINISHED
Object NLNK
NLNK is the stock ticker symbol for NewLink Genetics, a biotechnology company focused on developing immuno-oncology therapies.
 E1249863 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: NLNK | Statement: [NewLink Genetics, tickerSymbol, NLNK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NLNK
Context triple: [NewLink Genetics, tickerSymbol, NLNK]
  • A. NLK
    NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
  • B. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • C. ENLK
    ENLK is the ICAO airport code for Leknes Airport, a regional airport serving the town of Leknes in Norway’s Lofoten archipelago.
  • D. LNL
    LNL is the Indian Railways station code for Lonavala railway station, a key stop on the Mumbai–Pune route in Maharashtra, India.
  • E. KLNK
    KLNK is the ICAO airport code for Lincoln Airport, a public airfield serving Lincoln, Nebraska, in the United States.
  • 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: NLNK
Triple: [NewLink Genetics, tickerSymbol, NLNK]
Generated description
NLNK is the stock ticker symbol for NewLink Genetics, a biotechnology company focused on developing immuno-oncology therapies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NLNK
Target entity description: NLNK is the stock ticker symbol for NewLink Genetics, a biotechnology company focused on developing immuno-oncology therapies.
  • A. NLK
    NLK is the National Library of Korea, the country’s central repository for published materials and a key institution for preserving and providing access to Korea’s documentary heritage.
  • B. VNLK
    VNLK is the ICAO airport code for Tenzing-Hillary Airport, the small but famous high-altitude airfield serving Lukla in Nepal’s Everest region.
  • C. ENLK
    ENLK is the ICAO airport code for Leknes Airport, a regional airport serving the town of Leknes in Norway’s Lofoten archipelago.
  • D. LNL
    LNL is the Indian Railways station code for Lonavala railway station, a key stop on the Mumbai–Pune route in Maharashtra, India.
  • E. KLNK
    KLNK is the ICAO airport code for Lincoln Airport, a public airfield serving Lincoln, Nebraska, in the United States.
  • 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_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.
NEDg Description generation batch_6a012f7f8b148190914b0d7cfb2d5c5c completed May 11, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a012ffb67d4819099ec8d668cb590c9 completed May 11, 2026, 1:25 a.m.
Created at: April 10, 2026, 5:35 a.m.