Triple
T4468450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CERN n_TOF facility |
E98435
|
entity |
| Predicate | hasBeamLine |
P5353
|
FINISHED |
| Object |
EAR2
EAR2 is a high-flux experimental area and beam line at CERN’s n_TOF facility used for precision neutron time-of-flight measurements in nuclear physics research.
|
E441620
|
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: EAR2 | Statement: [CERN n_TOF facility, hasBeamLine, EAR2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EAR2 Context triple: [CERN n_TOF facility, hasBeamLine, EAR2]
-
A.
EAR
The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
-
B.
EARC
EARC is a collegiate athletic conference that organizes and governs men's rowing competitions among Eastern U.S. universities.
-
C.
Ea
Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
-
D.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
E.
earMUSIC
earMUSIC is an international rock and pop record label and division of Edel AG known for releasing albums by established and influential artists.
- 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: EAR2 Triple: [CERN n_TOF facility, hasBeamLine, EAR2]
Generated description
EAR2 is a high-flux experimental area and beam line at CERN’s n_TOF facility used for precision neutron time-of-flight measurements in nuclear physics research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EAR2 Target entity description: EAR2 is a high-flux experimental area and beam line at CERN’s n_TOF facility used for precision neutron time-of-flight measurements in nuclear physics research.
-
A.
EAR
The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
-
B.
EARC
EARC is a collegiate athletic conference that organizes and governs men's rowing competitions among Eastern U.S. universities.
-
C.
Ea
Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
-
D.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
E.
earMUSIC
earMUSIC is an international rock and pop record label and division of Edel AG known for releasing albums by established and influential artists.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3569ba84881909e9c1d9dfc004439 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b628665ba4819095d5ab205dd852d7 |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b62954b77c8190968f844514656415 |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62a0cd92c8190a9eee2a9d73fb679 |
completed | March 15, 2026, 3:39 a.m. |
Created at: March 12, 2026, 11:34 p.m.