Triple
T12114548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Washington Institute of Technology |
E288521
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
LWTech
LWTech is a public community and technical college in Kirkland, Washington, offering workforce-focused degree and certificate programs in fields such as technology, health, and applied sciences.
|
E962581
|
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: LWTech | Statement: [Lake Washington Institute of Technology, abbreviation, LWTech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LWTech Context triple: [Lake Washington Institute of Technology, abbreviation, LWTech]
-
A.
LWT
LWT (London Weekend Television) was a major British television company and ITV franchise holder known for producing a wide range of popular entertainment and drama programming.
-
B.
LWS
LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
-
C.
LWS
LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
-
D.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
E.
LWP
LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
- 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: LWTech Triple: [Lake Washington Institute of Technology, abbreviation, LWTech]
Generated description
LWTech is a public community and technical college in Kirkland, Washington, offering workforce-focused degree and certificate programs in fields such as technology, health, and applied sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LWTech Target entity description: LWTech is a public community and technical college in Kirkland, Washington, offering workforce-focused degree and certificate programs in fields such as technology, health, and applied sciences.
-
A.
LWT
LWT (London Weekend Television) was a major British television company and ITV franchise holder known for producing a wide range of popular entertainment and drama programming.
-
B.
LWS
LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
-
C.
LWS
LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
-
D.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
-
E.
LWP
LWP is the abbreviation for the Polish People’s Army, the communist-era armed forces of Poland that existed from the end of World War II until 1989.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f67f9c30819089305d5d42210c34 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f5fdea1afc8190b39557fdc571e300 |
completed | May 2, 2026, 1:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f5feeeeb2081908191b1c2d1c2fbfd |
completed | May 2, 2026, 1:41 p.m. |
Created at: April 8, 2026, 9:49 p.m.