Triple
T16620585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenoble Alpes–Isère Airport |
E403814
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
GNB
GNB is the IATA airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
|
E1224999
|
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: GNB | Statement: [Grenoble Alpes–Isère Airport, IATAcode, GNB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNB Context triple: [Grenoble Alpes–Isère Airport, IATAcode, GNB]
-
A.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
-
B.
GNB
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
GNL
GNL is the National Rail station code for Green Lane railway station in Merseyside, England.
-
E.
GAB
GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
- 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: GNB Triple: [Grenoble Alpes–Isère Airport, IATAcode, GNB]
Generated description
GNB is the IATA airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GNB Target entity description: GNB is the IATA airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
-
A.
GNB
GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
-
B.
GNB
GNB is the three-letter ISO 3166-1 alpha-3 country code assigned to Guinea-Bissau.
-
C.
GN
GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
-
D.
GNL
GNL is the National Rail station code for Green Lane railway station in Merseyside, England.
-
E.
GAB
GAB is the three-letter ISO 3166-1 alpha-3 country code assigned to Gabon.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754d6b4c81908eab5210c386ea15 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db27f788190a3c57b7ea8a8a9c6 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007eaca31081909cc81e73af61f2f0 |
completed | May 10, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007fde282c81909c9e7b210dd6e715 |
completed | May 10, 2026, 12:53 p.m. |
Created at: April 10, 2026, 5:17 a.m.