Triple
T13895186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jharsuguda Airport |
E334068
|
entity |
| Predicate | hasIataCode |
P2569
|
FINISHED |
| Object |
JRG
JRG is the IATA airport code for Jharsuguda Airport in the Indian state of Odisha.
|
E1068721
|
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: JRG | Statement: [Jharsuguda Airport, hasIataCode, JRG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JRG Context triple: [Jharsuguda Airport, hasIataCode, JRG]
-
A.
JR
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
-
B.
JR
JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
-
C.
JR
JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
-
D.
JR
JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
-
E.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
- 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: JRG Triple: [Jharsuguda Airport, hasIataCode, JRG]
Generated description
JRG is the IATA airport code for Jharsuguda Airport in the Indian state of Odisha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JRG Target entity description: JRG is the IATA airport code for Jharsuguda Airport in the Indian state of Odisha.
-
A.
JR
JR is a character from Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," which chronicles the lives and relationships of a diverse group of lesbian friends.
-
B.
JR
JR is a French street artist and photographer renowned for his large-scale public art installations that transform urban spaces and address social and political issues worldwide.
-
C.
JR
JR is the station code assigned to J. Ruiz station in the Manila Metro Rail Transit system.
-
D.
JR
JR is the common brand name and logo used by the Japan Railways Group, a network of major passenger and freight railway companies in Japan.
-
E.
GRJ
GRJ is the IATA airport code for George Airport, a regional airport serving the town of George in South Africa’s Western Cape province.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c868bdfc8190a13379363d01568d |
completed | May 3, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c9732d188190a8a7151d21e0a310 |
completed | May 3, 2026, 10:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.