Triple
T11583163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Technological University |
E274680
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
LTU
LTU is a private university in Southfield, Michigan, known for its strong programs in engineering, architecture, design, and technology-focused education.
|
E934831
|
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: LTU | Statement: [Lawrence Technological University, abbreviation, LTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTU Context triple: [Lawrence Technological University, abbreviation, LTU]
-
A.
LTU
LTU is the three-letter ISO 3166-1 alpha-3 country code assigned to Lithuania.
-
B.
LTU International
LTU International was a German leisure airline based in Düsseldorf, known for its long-haul holiday flights, particularly to destinations in North America and the Caribbean.
-
C.
LUT University Lahti campus
LUT University Lahti campus is a regional campus of LUT University in the Finnish city of Lahti, focusing on technology, business, and sustainability-oriented education and research.
-
D.
LTN
LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
E.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
- 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: LTU Triple: [Lawrence Technological University, abbreviation, LTU]
Generated description
LTU is a private university in Southfield, Michigan, known for its strong programs in engineering, architecture, design, and technology-focused education.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTU Target entity description: LTU is a private university in Southfield, Michigan, known for its strong programs in engineering, architecture, design, and technology-focused education.
-
A.
LTU
LTU is the three-letter ISO 3166-1 alpha-3 country code assigned to Lithuania.
-
B.
LTU International
LTU International was a German leisure airline based in Düsseldorf, known for its long-haul holiday flights, particularly to destinations in North America and the Caribbean.
-
C.
LUT University Lahti campus
LUT University Lahti campus is a regional campus of LUT University in the Finnish city of Lahti, focusing on technology, business, and sustainability-oriented education and research.
-
D.
LTN
LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
E.
NSTU
NSTU is the ICAO airport code for Pago Pago International Airport in American Samoa.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904db5748190ae5f10ae86ccdf46 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7142d442c8190a48372e0e17db517 |
completed | April 21, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69e720fb192881909c129f93c8b88f42 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e7233efb6c81909dbf1aef080f5598 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.