Triple
T14073095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Najaf International Airport |
E338661
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
ORNI
ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
|
E1077462
|
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: ORNI | Statement: [Najaf International Airport, ICAOcode, ORNI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORNI Context triple: [Najaf International Airport, ICAOcode, ORNI]
-
A.
ORI
ORI is a U.S. federal agency within the Department of Health and Human Services that oversees and promotes integrity in biomedical and behavioral research funded by the Public Health Service.
-
B.
ORI
ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
-
C.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
D.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
-
E.
ORO
ORO is the U.S. Department of Energy’s Oak Ridge Office, which oversees federal energy, science, and environmental management activities at the Oak Ridge Reservation in Tennessee.
- 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: ORNI Triple: [Najaf International Airport, ICAOcode, ORNI]
Generated description
ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ORNI Target entity description: ORNI is the ICAO airport code for Najaf International Airport in Najaf, Iraq.
-
A.
ORI
ORI is a U.S. federal agency within the Department of Health and Human Services that oversees and promotes integrity in biomedical and behavioral research funded by the Public Health Service.
-
B.
ORI
ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
-
C.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
D.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
-
E.
ORO
ORO is the U.S. Department of Energy’s Oak Ridge Office, which oversees federal energy, science, and environmental management activities at the Oak Ridge Reservation in Tennessee.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66eeb248190b73e992ab6b9af82 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc37502048190b24438c0fb161fdf |
completed | May 7, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc3db83ac819083b728d039b8d345 |
completed | May 7, 2026, 4:54 p.m. |
Created at: April 9, 2026, 10:21 p.m.