Triple
T6366613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Sasso National Laboratory |
E143243
|
entity |
| Predicate | hostsExperiment |
P1591
|
FINISHED |
| Object |
LVD
LVD (Large Volume Detector) is an underground neutrino observatory designed to detect neutrinos from supernovae and other astrophysical sources.
|
E588245
|
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: LVD | Statement: [Gran Sasso National Laboratory, hostsExperiment, LVD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LVD Context triple: [Gran Sasso National Laboratory, hostsExperiment, LVD]
-
A.
BLV
BLV is the IATA airport code for MidAmerica St. Louis Airport, a joint-use civilian and military airfield at Scott Air Force Base in Illinois, USA.
-
B.
BLV
BLV is the Swiss Federal Food Safety and Veterinary Office, the national authority responsible for protecting public health and animal welfare through regulation and oversight of food safety and veterinary matters.
-
C.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
D.
LDV
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
-
E.
LVA
LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
- 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: LVD Triple: [Gran Sasso National Laboratory, hostsExperiment, LVD]
Generated description
LVD (Large Volume Detector) is an underground neutrino observatory designed to detect neutrinos from supernovae and other astrophysical sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LVD Target entity description: LVD (Large Volume Detector) is an underground neutrino observatory designed to detect neutrinos from supernovae and other astrophysical sources.
-
A.
BLV
BLV is the IATA airport code for MidAmerica St. Louis Airport, a joint-use civilian and military airfield at Scott Air Force Base in Illinois, USA.
-
B.
BLV
BLV is the Swiss Federal Food Safety and Veterinary Office, the national authority responsible for protecting public health and animal welfare through regulation and oversight of food safety and veterinary matters.
-
C.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
D.
LDV
LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
-
E.
LVA
LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8059588190a7d052889b25a8b6 |
completed | March 27, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69c62e8a7dd48190950b220460eb2d6f |
completed | March 27, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62ee892208190b3b005a9bd41b744 |
completed | March 27, 2026, 7:16 a.m. |
Created at: March 22, 2026, 4:32 p.m.