Triple
T4065330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariane launch vehicle programme |
E86309
|
entity |
| Predicate | launchSite |
P4384
|
FINISHED |
| Object |
ELA-4
ELA-4 is a modern launch complex at the Guiana Space Centre in French Guiana built to support Ariane 6 rocket operations.
|
E410433
|
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: ELA-4 | Statement: [Ariane launch vehicle programme, launchSite, ELA-4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ELA-4 Context triple: [Ariane launch vehicle programme, launchSite, ELA-4]
-
A.
ELA-3
ELA-3 is a launch complex at the Guiana Space Centre in French Guiana used primarily for Ariane 5 rocket missions.
-
B.
ELA-1
ELA-1 is a launch complex at the Guiana Space Centre in French Guiana, used for orbiting satellites with the European Vega small-lift launch vehicle.
-
C.
ELP
ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
-
D.
English Language Arts
English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
-
E.
ELPA
ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
- 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: ELA-4 Triple: [Ariane launch vehicle programme, launchSite, ELA-4]
Generated description
ELA-4 is a modern launch complex at the Guiana Space Centre in French Guiana built to support Ariane 6 rocket operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ELA-4 Target entity description: ELA-4 is a modern launch complex at the Guiana Space Centre in French Guiana built to support Ariane 6 rocket operations.
-
A.
ELA-3
ELA-3 is a launch complex at the Guiana Space Centre in French Guiana used primarily for Ariane 5 rocket missions.
-
B.
ELA-1
ELA-1 is a launch complex at the Guiana Space Centre in French Guiana, used for orbiting satellites with the European Vega small-lift launch vehicle.
-
C.
ELP
ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
-
D.
English Language Arts
English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
-
E.
ELPA
ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf44c888190b5746d93e9f8e3a3 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b17c888190ac4771f2bb4f0d58 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.