Triple
T15985572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of Army (New Zealand) |
E387682
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CA (NZ)
CA (NZ) is the official abbreviation for the Chief of Army of the New Zealand Army, the senior professional head of the country's land forces.
|
E1187857
|
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: CA (NZ) | Statement: [Chief of Army (New Zealand), hasAbbreviation, CA (NZ)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CA (NZ) Context triple: [Chief of Army (New Zealand), hasAbbreviation, CA (NZ)]
-
A.
CA 2
CA 2 is a California state highway that runs from Santa Monica through Los Angeles into the San Gabriel Mountains, serving as both an urban thoroughfare and a scenic mountain route.
-
B.
CAAZ
CAAZ is the national regulatory body responsible for overseeing and managing civil aviation activities and safety standards in Zimbabwe.
-
C.
CA 4
CA 4 is a state highway in California that runs east–west from the San Francisco Bay Area across the Central Valley into the Sierra Nevada.
-
D.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
-
E.
CAL
CAL is the commonly used abbreviation for the College of Arts and Letters, an academic division typically focused on humanities and liberal arts disciplines.
- 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: CA (NZ) Triple: [Chief of Army (New Zealand), hasAbbreviation, CA (NZ)]
Generated description
CA (NZ) is the official abbreviation for the Chief of Army of the New Zealand Army, the senior professional head of the country's land forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CA (NZ) Target entity description: CA (NZ) is the official abbreviation for the Chief of Army of the New Zealand Army, the senior professional head of the country's land forces.
-
A.
CA 2
CA 2 is a California state highway that runs from Santa Monica through Los Angeles into the San Gabriel Mountains, serving as both an urban thoroughfare and a scenic mountain route.
-
B.
CAAZ
CAAZ is the national regulatory body responsible for overseeing and managing civil aviation activities and safety standards in Zimbabwe.
-
C.
CA 4
CA 4 is a state highway in California that runs east–west from the San Francisco Bay Area across the Central Valley into the Sierra Nevada.
-
D.
CAL
CAL is the ICAO airline designator used to identify China Airlines in international aviation operations.
-
E.
CAL
CAL is the station code for California station on the Green Line transit system.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157589d78819091f7b9b1081dd6ad |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cfc8d08190a02abc90c889c8e1 |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc4ed71648190983a0a4150c4d8c4 |
completed | May 9, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc5a5b46881908589fd1dabef5378 |
completed | May 9, 2026, 11:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.