Triple
T22695139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ND280 |
E561154
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
TPC2
TPC2 is one of the time projection chambers used in the ND280 near detector of the T2K neutrino experiment to track charged particles and measure their momenta.
|
E1551103
|
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: TPC2 | Statement: [ND280, hasComponent, TPC2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TPC2 Context triple: [ND280, hasComponent, TPC2]
-
A.
TPC
TPC is an abbreviation commonly used for the Turkish Petroleum Company, a historical oil company involved in early petroleum exploration and production in the Middle East.
-
B.
TPC
TPC is an Italian unit dedicated to the protection and preservation of cultural heritage, including the prevention and investigation of art and antiquities crimes.
-
C.
T2
T2 is a TrawsCymru long-distance bus route in Wales providing inter-town public transport services.
-
D.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
- 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: TPC2 Triple: [ND280, hasComponent, TPC2]
Generated description
TPC2 is one of the time projection chambers used in the ND280 near detector of the T2K neutrino experiment to track charged particles and measure their momenta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TPC2 Target entity description: TPC2 is one of the time projection chambers used in the ND280 near detector of the T2K neutrino experiment to track charged particles and measure their momenta.
-
A.
TPC
TPC is an abbreviation commonly used for the Turkish Petroleum Company, a historical oil company involved in early petroleum exploration and production in the Middle East.
-
B.
TPC
TPC is an Italian unit dedicated to the protection and preservation of cultural heritage, including the prevention and investigation of art and antiquities crimes.
-
C.
T2
T2 is a TrawsCymru long-distance bus route in Wales providing inter-town public transport services.
-
D.
T2
T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
-
E.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789d46c881908176bc8e26f366f6 |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ece75648190a841256cf08a72f8 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:14 p.m.