Triple
T15723788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polytechnic Institute of Guarda |
E381169
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
IPG
IPG is a Portuguese higher education institution located in the city of Guarda, offering polytechnic degrees in various fields.
|
E1173305
|
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: IPG | Statement: [Polytechnic Institute of Guarda, hasAbbreviation, IPG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPG Context triple: [Polytechnic Institute of Guarda, hasAbbreviation, IPG]
-
A.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
-
B.
Imtech
Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
-
C.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
D.
Cymer
Cymer is a leading supplier of light sources for semiconductor lithography systems, best known for providing the laser technology used in advanced chip manufacturing.
-
E.
SupOptique
SupOptique is a leading French grande école specializing in optics, photonics, and related engineering and research.
- 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: IPG Triple: [Polytechnic Institute of Guarda, hasAbbreviation, IPG]
Generated description
IPG is a Portuguese higher education institution located in the city of Guarda, offering polytechnic degrees in various fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IPG Target entity description: IPG is a Portuguese higher education institution located in the city of Guarda, offering polytechnic degrees in various fields.
-
A.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
-
B.
Imtech
Imtech was a European technical services provider specializing in electrical engineering, ICT, and mechanical services for buildings and industry.
-
C.
Optica
Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
-
D.
Cymer
Cymer is a leading supplier of light sources for semiconductor lithography systems, best known for providing the laser technology used in advanced chip manufacturing.
-
E.
SupOptique
SupOptique is a leading French grande école specializing in optics, photonics, and related engineering and research.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f68bf881909e5ad8a6ab81684a |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff8388b3588190ae55c123bb19cb2c |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff84125e808190a4d465d9effad639 |
completed | May 9, 2026, 6:59 p.m. |
Created at: April 10, 2026, 4:46 a.m.