Triple
T7156994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exicure, Inc. |
E166837
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
XCUR
XCUR is the stock ticker symbol for Exicure, Inc., a biotechnology company focused on developing nucleic acid–based therapeutics.
|
E645748
|
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: XCUR | Statement: [Exicure, Inc., tickerSymbol, XCUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XCUR Context triple: [Exicure, Inc., tickerSymbol, XCUR]
-
A.
CX
CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
-
B.
XCD
XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
-
C.
XCR
XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
-
D.
XUA
XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
-
E.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
- 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: XCUR Triple: [Exicure, Inc., tickerSymbol, XCUR]
Generated description
XCUR is the stock ticker symbol for Exicure, Inc., a biotechnology company focused on developing nucleic acid–based therapeutics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XCUR Target entity description: XCUR is the stock ticker symbol for Exicure, Inc., a biotechnology company focused on developing nucleic acid–based therapeutics.
-
A.
CX
CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
-
B.
XCD
XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
-
C.
XCR
XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
-
D.
XUA
XUA (Cross-Enterprise User Assertion) is an IHE IT Infrastructure profile that standardizes how user identity and authentication information is securely communicated across healthcare enterprises.
-
E.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80f14808190907ee84523630d85 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb530388190b68fa05418d3e184 |
completed | March 28, 2026, 10:30 a.m. |
| NEDg | Description generation | batch_69c7ae830c74819091d6d65ac6fba32b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7af1133b08190a32dccf82015c19e |
completed | March 28, 2026, 10:36 a.m. |
Created at: March 27, 2026, 2:47 p.m.