Triple
T37588567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MH-53E Sea Dragon |
E935190
|
entity |
| Predicate | primaryMissionEquipment |
P35960
|
FINISHED |
| Object |
AN/AQS-14 mine-hunting sonar
The AN/AQS-14 is an advanced towed mine-hunting sonar system used by naval forces to detect, classify, and localize underwater mines.
|
E2234569
|
NE FINISHED |
How this triple was built (3 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: AN/AQS-14 mine-hunting sonar | Statement: [MH-53E Sea Dragon, primaryMissionEquipment, AN/AQS-14 mine-hunting sonar]
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: AN/AQS-14 mine-hunting sonar Triple: [MH-53E Sea Dragon, primaryMissionEquipment, AN/AQS-14 mine-hunting sonar]
Generated description
The AN/AQS-14 is an advanced towed mine-hunting sonar system used by naval forces to detect, classify, and localize underwater mines.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMissionEquipment Context triple: [MH-53E Sea Dragon, primaryMissionEquipment, AN/AQS-14 mine-hunting sonar]
-
A.
missionEquipment
chosen
Indicates that certain equipment is assigned to, used for, or associated with carrying out a specific mission.
-
B.
primaryArmament
Indicates the main weapon or principal offensive system that an entity (such as a vehicle, vessel, or platform) is equipped with or uses.
-
C.
primaryEquipment
Indicates that one entity serves as the main or most important piece of equipment used by another entity.
-
D.
primaryMissionTo
Indicates that an entity has a main or principal mission directed toward or focused on another entity.
-
E.
primaryUnitAircraft
Indicates that an aircraft serves as the main or principal aircraft assigned to a particular unit.
- F. None of above.
Provenance (6 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40a7fba3608190a7121d9a81443038 |
completed | June 28, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_6a40a92a33a481908411fc3f7ffec5bc |
completed | June 28, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40a9b39bc88190bfa865be4f420cd3 |
completed | June 28, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.