Triple
T9924304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Farragut (DLG-6) |
E187881
|
entity |
| Predicate | hullNumber |
P3152
|
FINISHED |
| Object |
DLG-6
DLG-6 was the hull classification for USS Farragut, a U.S. Navy guided missile frigate later reclassified as a guided missile destroyer and lead ship of her class during the Cold War era.
|
E828907
|
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: DLG-6 | Statement: [USS Farragut (DLG-6), hullNumber, DLG-6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DLG-6 Context triple: [USS Farragut (DLG-6), hullNumber, DLG-6]
-
A.
GR-61
GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
-
B.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
-
C.
OKB-456
OKB-456 was a Soviet rocket design bureau best known for developing early liquid-fueled engines used on R-7 family launch vehicles.
-
D.
Telegin
Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
-
E.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli 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: DLG-6 Triple: [USS Farragut (DLG-6), hullNumber, DLG-6]
Generated description
DLG-6 was the hull classification for USS Farragut, a U.S. Navy guided missile frigate later reclassified as a guided missile destroyer and lead ship of her class during the Cold War era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DLG-6 Target entity description: DLG-6 was the hull classification for USS Farragut, a U.S. Navy guided missile frigate later reclassified as a guided missile destroyer and lead ship of her class during the Cold War era.
-
A.
GR-61
GR-61 is the ISO 3166-2 subdivision code assigned to the Pieria regional unit in Greece.
-
B.
GR-64
GR-64 is the ISO 3166-2 regional code assigned to the Chalkidiki regional unit in Greece.
-
C.
OKB-456
OKB-456 was a Soviet rocket design bureau best known for developing early liquid-fueled engines used on R-7 family launch vehicles.
-
D.
Telegin
Telegin is a minor but memorable character in Anton Chekhov’s play "Uncle Vanya," known for his shabby gentility, loyalty, and melancholy humor.
-
E.
Tsalka
Tsalka is a town in southern Georgia known for its ethnically diverse population and its location near the Tsalka Reservoir in the Kvemo Kartli region.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb598651081908286763ff56ba57c |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e0bdae08190acb94fe7d5471e4b |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ef4746c8190a0d722a5ea8147f9 |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20f0ff8608190a0c15f1a03a71a69 |
completed | April 5, 2026, 7:28 a.m. |
Created at: March 30, 2026, 8:43 p.m.