Triple
T14439331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ClearCase |
E358045
|
entity |
| Predicate | supportsFeature |
P203
|
FINISHED |
| Object |
UCM
UCM (Unified Change Management) is an IBM Rational ClearCase process framework that standardizes and automates software configuration and change management activities across a development lifecycle.
|
E1099357
|
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: UCM | Statement: [ClearCase, supportsFeature, UCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UCM Context triple: [ClearCase, supportsFeature, UCM]
-
A.
UCM
UCM is the commonly used abbreviation for the Complutense University of Madrid, one of Spain’s largest and most prestigious public universities.
-
B.
UCM
UCM is a public university in Warrensburg, Missouri, known for its diverse undergraduate and graduate programs and strong emphasis on applied learning.
-
C.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
D.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
-
E.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
- 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: UCM Triple: [ClearCase, supportsFeature, UCM]
Generated description
UCM (Unified Change Management) is an IBM Rational ClearCase process framework that standardizes and automates software configuration and change management activities across a development lifecycle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UCM Target entity description: UCM (Unified Change Management) is an IBM Rational ClearCase process framework that standardizes and automates software configuration and change management activities across a development lifecycle.
-
A.
UCM
UCM is the commonly used abbreviation for the Complutense University of Madrid, one of Spain’s largest and most prestigious public universities.
-
B.
UCM
UCM is a public university in Warrensburg, Missouri, known for its diverse undergraduate and graduate programs and strong emphasis on applied learning.
-
C.
UCE
UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
-
D.
CU
CU is the commonly used abbreviation for the multi-campus University of Colorado public university system in the United States.
-
E.
CU
CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd7f46881908df1a1cea7b6af9b |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5d585cc08190908bc5f9b8abdb82 |
completed | May 8, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e0bbd6c8190b14039b3335692c7 |
completed | May 8, 2026, 3:52 a.m. |
Created at: April 10, 2026, 1:18 a.m.