Triple
T18457783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air India Express |
E450948
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
AXB
AXB is the ICAO airline designator assigned to Air India Express, the Indian low-cost carrier.
|
E1325147
|
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: AXB | Statement: [Air India Express, ICAOcode, AXB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AXB Context triple: [Air India Express, ICAOcode, AXB]
-
A.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
B.
StAX
StAX (Streaming API for XML) is a Java-based pull-parsing API that enables efficient, forward-only, stream-oriented processing of XML documents.
-
C.
GBXML
GBXML (Green Building XML) is an open schema used to facilitate the transfer of building information models into energy and environmental performance analysis tools.
-
D.
SAX
SAX (Simple API for XML) is an event-driven, streaming XML parsing interface commonly used for efficiently processing large XML documents in a forward-only manner.
-
E.
SAX
SAX is the abbreviated name for BeppoSAX, an Italian–Dutch X-ray astronomy satellite renowned for its pivotal role in identifying the afterglows of gamma-ray bursts.
- 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: AXB Triple: [Air India Express, ICAOcode, AXB]
Generated description
AXB is the ICAO airline designator assigned to Air India Express, the Indian low-cost carrier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AXB Target entity description: AXB is the ICAO airline designator assigned to Air India Express, the Indian low-cost carrier.
-
A.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
B.
StAX
StAX (Streaming API for XML) is a Java-based pull-parsing API that enables efficient, forward-only, stream-oriented processing of XML documents.
-
C.
GBXML
GBXML (Green Building XML) is an open schema used to facilitate the transfer of building information models into energy and environmental performance analysis tools.
-
D.
SAX
SAX (Simple API for XML) is an event-driven, streaming XML parsing interface commonly used for efficiently processing large XML documents in a forward-only manner.
-
E.
SAX
SAX is the abbreviated name for BeppoSAX, an Italian–Dutch X-ray astronomy satellite renowned for its pivotal role in identifying the afterglows of gamma-ray bursts.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fe9a7748190b23d40466c3a314a |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a0412260e448190acf29d53559ab69d |
completed | May 13, 2026, 5:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04130734688190a2803c7037900269 |
completed | May 13, 2026, 5:58 a.m. |
Created at: April 10, 2026, 11:31 a.m.