Triple
T6431370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Engineering (EPFL) |
E129785
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
STI
STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
|
E591829
|
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: STI | Statement: [School of Engineering (EPFL), hasAbbreviation, STI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STI Context triple: [School of Engineering (EPFL), hasAbbreviation, STI]
-
A.
STIS
STIS is a versatile instrument on the Hubble Space Telescope that provides high-resolution imaging and spectroscopy across a wide range of wavelengths.
-
B.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
-
E.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
- 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: STI Triple: [School of Engineering (EPFL), hasAbbreviation, STI]
Generated description
STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STI Target entity description: STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
-
A.
STIS
STIS is a versatile instrument on the Hubble Space Telescope that provides high-resolution imaging and spectroscopy across a wide range of wavelengths.
-
B.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
C.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
D.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
E.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693cadf08190aca84888a3440b3d |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e9ae8481909229bcf6d5e793d3 |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c641ff05c08190ab9526b095b038fa |
completed | March 27, 2026, 8:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c642a344e48190bccb0f0d122fca4c |
completed | March 27, 2026, 8:41 a.m. |
Created at: March 22, 2026, 4:44 p.m.