Triple
T5508372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA Ship Ferdinand R. Hassler |
E144500
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
WTEF
WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
|
E531599
|
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: WTEF | Statement: [NOAA Ship Ferdinand R. Hassler, callsign, WTEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WTEF Context triple: [NOAA Ship Ferdinand R. Hassler, callsign, WTEF]
-
A.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
B.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
-
C.
TWG
TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
-
D.
WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
-
E.
TATWG
TATWG is a working group focused on providing technical assistance and training within its designated domain or organization.
- 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: WTEF Triple: [NOAA Ship Ferdinand R. Hassler, callsign, WTEF]
Generated description
WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WTEF Target entity description: WTEF is the radio callsign assigned to the NOAA hydrographic survey vessel Ferdinand R. Hassler.
-
A.
WTS
WTS is the commonly used abbreviation for the Watch Tower Bible and Tract Society of Pennsylvania, the primary legal and publishing organization associated with Jehovah’s Witnesses.
-
B.
WTS
WTS is a Reformed Christian seminary in Holland, Michigan, known for training pastors and church leaders within the Reformed Church in America and broader evangelical traditions.
-
C.
TWG
TWG is the commonly used abbreviation for The World Games, an international multi-sport event featuring disciplines not contested in the Olympic Games.
-
D.
WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
-
E.
TATWG
TATWG is a working group focused on providing technical assistance and training within its designated domain or organization.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4a80d88190bab0056c4c78be93 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c082108190a3c8f826a6aeef4c |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c03c0ab1d8819094aeaac0a5b57bc8 |
completed | March 22, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03cd550748190ab9718c510d2f0ca |
completed | March 22, 2026, 7:02 p.m. |
Created at: March 22, 2026, 3:33 p.m.