Triple
T7542647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorhat Airport |
E178316
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
VEJT
VEJT is the ICAO airport code assigned to Jorhat Airport in Assam, India.
|
E671097
|
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: VEJT | Statement: [Jorhat Airport, hasICAOcode, VEJT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEJT Context triple: [Jorhat Airport, hasICAOcode, VEJT]
-
A.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
B.
Gautoi
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
-
C.
VIAR
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
D.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
E.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
- 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: VEJT Triple: [Jorhat Airport, hasICAOcode, VEJT]
Generated description
VEJT is the ICAO airport code assigned to Jorhat Airport in Assam, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEJT Target entity description: VEJT is the ICAO airport code assigned to Jorhat Airport in Assam, India.
-
A.
Vé
Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
-
B.
Gautoi
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
-
C.
VIAR
VIAR is the ICAO airport code for Sri Guru Ram Dass Jee International Airport serving Amritsar, India.
-
D.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
E.
Musina
Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c84fe59f24819094e11378ed57963f |
completed | March 28, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8506a7f4c8190be0f97e434bbeed7 |
completed | March 28, 2026, 10:04 p.m. |
Created at: March 27, 2026, 3:48 p.m.