Triple
T5961639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA Ship Ronald H. Brown |
E132651
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
WTEC
WTEC is the radio callsign assigned to the NOAA research vessel Ronald H. Brown.
|
E559120
|
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: WTEC | Statement: [NOAA Ship Ronald H. Brown, callsign, WTEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTEC Context triple: [NOAA Ship Ronald H. Brown, callsign, WTEC]
-
A.
WTEF
WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
-
B.
WTDC
WTDC is a major international conference organized by the International Telecommunication Union that focuses on policies and strategies for global telecommunication and ICT development, particularly in developing countries.
-
C.
TWC
TWC was the stock ticker symbol for Time Warner Cable, a major American cable television and broadband internet provider that was acquired by Charter Communications.
-
D.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
-
E.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
- 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: WTEC Triple: [NOAA Ship Ronald H. Brown, callsign, WTEC]
Generated description
WTEC is the radio callsign assigned to the NOAA research vessel Ronald H. Brown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WTEC Target entity description: WTEC is the radio callsign assigned to the NOAA research vessel Ronald H. Brown.
-
A.
WTEF
WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
-
B.
WTDC
WTDC is a major international conference organized by the International Telecommunication Union that focuses on policies and strategies for global telecommunication and ICT development, particularly in developing countries.
-
C.
TWC
TWC was the stock ticker symbol for Time Warner Cable, a major American cable television and broadband internet provider that was acquired by Charter Communications.
-
D.
TEC
TEC is a public transport company in Belgium that operates regional bus and other transit services, primarily in the Walloon region.
-
E.
TEC
TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3ee20648190badedf60a8bc938b |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f8d793ac81908e4ce9f867116b0f |
completed | March 23, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f94558688190abd771685afa8ebc |
completed | March 23, 2026, 8:26 a.m. |
Created at: March 22, 2026, 4:02 p.m.