Triple
T18814277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Lions field hockey |
E460094
|
entity |
| Predicate | universityAbbreviation |
P789
|
FINISHED |
| Object |
CU
CU is the commonly used abbreviation for Columbia University, an Ivy League research institution in New York City.
|
E1344877
|
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: CU | Statement: [Columbia Lions field hockey, universityAbbreviation, CU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CU Context triple: [Columbia Lions field hockey, universityAbbreviation, CU]
-
A.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
-
B.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
-
C.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
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 station code used to identify Cubao station on Manila’s MRT Line 3.
- 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: CU Triple: [Columbia Lions field hockey, universityAbbreviation, CU]
Generated description
CU is the commonly used abbreviation for Columbia University, an Ivy League research institution in New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CU Target entity description: CU is the commonly used abbreviation for Columbia University, an Ivy League research institution in New York City.
-
A.
CU
CU is the commonly used abbreviation for the multi-campus University of Colorado public university system in the United States.
-
B.
CU
CU is the commonly used abbreviation for Ciudad Universitaria, a major university campus area in Spanish-speaking regions.
-
C.
CU
CU is the common abbreviation for the Christian Union, a Christian student organization found at many universities.
-
D.
CU
CU is the common abbreviation for Chulalongkorn University, a leading public research university in Bangkok, Thailand.
-
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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3df2d3881909b336d813bbfd0aa |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc5fb2c8190ae2fa1727427fd8c |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055ff5103881908cc6f21428ea5c23 |
completed | May 14, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0563db346481909fbdcb2e80ea0fcf |
completed | May 14, 2026, 5:55 a.m. |
Created at: April 10, 2026, 11:53 a.m.