Triple
T10840290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMC Javelin |
E255866
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
SST
SST is a high-performance, sporty trim level of the AMC Javelin muscle car, featuring upgraded styling and performance-oriented features.
|
E889316
|
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: SST | Statement: [AMC Javelin, trimLevel, SST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SST Context triple: [AMC Javelin, trimLevel, SST]
-
A.
SST
SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
-
B.
SSU
SSU is a public liberal arts university located in Rohnert Park, California, known for its strong programs in the arts, sciences, and education.
-
C.
SSV
SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
-
D.
SSS
SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
-
E.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
- 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: SST Triple: [AMC Javelin, trimLevel, SST]
Generated description
SST is a high-performance, sporty trim level of the AMC Javelin muscle car, featuring upgraded styling and performance-oriented features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SST Target entity description: SST is a high-performance, sporty trim level of the AMC Javelin muscle car, featuring upgraded styling and performance-oriented features.
-
A.
SST
SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
-
B.
SSU
SSU is a public liberal arts university located in Rohnert Park, California, known for its strong programs in the arts, sciences, and education.
-
C.
SSV
SSV is a lightweight, off-road side-by-side vehicle class commonly used in rally raid competitions for its agility and versatility over rough terrain.
-
D.
SSS
SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
-
E.
SS
SS is the UK postcode area covering Southend-on-Sea and surrounding parts of Essex in eastern England.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7470204548190ba0c724dd9367712 |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb146f04881909f5636e7d0c20b77 |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: April 8, 2026, 9:19 p.m.