Triple
T6366618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Sasso National Laboratory |
E143243
|
entity |
| Predicate | hostsExperiment |
P1591
|
FINISHED |
| Object |
GERDA
GERDA is a physics experiment at Italy’s Gran Sasso underground laboratory designed to search for neutrinoless double beta decay in germanium-76.
|
E588250
|
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: GERDA | Statement: [Gran Sasso National Laboratory, hostsExperiment, GERDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GERDA Context triple: [Gran Sasso National Laboratory, hostsExperiment, GERDA]
-
A.
Gunta
Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
-
B.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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: GERDA Triple: [Gran Sasso National Laboratory, hostsExperiment, GERDA]
Generated description
GERDA is a physics experiment at Italy’s Gran Sasso underground laboratory designed to search for neutrinoless double beta decay in germanium-76.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GERDA Target entity description: GERDA is a physics experiment at Italy’s Gran Sasso underground laboratory designed to search for neutrinoless double beta decay in germanium-76.
-
A.
Gunta
Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
-
B.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
-
C.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
D.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
E.
Günther
Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
- 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.