Triple
T7896373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO/IEC 25010 |
E183351
|
entity |
| Predicate | partOfSeries |
P1761
|
FINISHED |
| Object |
SQuaRE
SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
|
E700440
|
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: SQuaRE | Statement: [ISO/IEC 25010, partOfSeries, SQuaRE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SQuaRE Context triple: [ISO/IEC 25010, partOfSeries, SQuaRE]
-
A.
SQT
SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
-
B.
Squant
Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
-
C.
Squarings (sequence)
Squarings is a sequence of interrelated poems by Seamus Heaney that explores memory, history, and perception through tightly structured, meditative verse.
-
D.
Slab Square
Slab Square is the popular local nickname for Old Market Square, the central public square and main civic space in Nottingham, England.
-
E.
SQ
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
- 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: SQuaRE Triple: [ISO/IEC 25010, partOfSeries, SQuaRE]
Generated description
SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SQuaRE Target entity description: SQuaRE is the ISO/IEC software product quality standards framework that defines models and measures for evaluating and improving software quality.
-
A.
SQT
SQT is the intensive advanced training course that prepares U.S. Navy SEAL candidates for operational deployment after completing Basic Underwater Demolition/SEAL (BUD/S) training.
-
B.
Squant
Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
-
C.
Squarings (sequence)
Squarings is a sequence of interrelated poems by Seamus Heaney that explores memory, history, and perception through tightly structured, meditative verse.
-
D.
Slab Square
Slab Square is the popular local nickname for Old Market Square, the central public square and main civic space in Nottingham, England.
-
E.
SQ
SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a187a0081909a0c0822c6dab1da |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bae4bdc8190be7db2ba3acb708a |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:01 p.m.