Triple
T16192553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Fahd Air Base |
E392977
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
OETF
OETF is the ICAO airport code assigned to King Fahd Air Base in Saudi Arabia.
|
E631615
|
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: OETF | Statement: [King Fahd Air Base, hasICAOCode, OETF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OETF Context triple: [King Fahd Air Base, hasICAOCode, OETF]
-
A.
OETF
OETF is the ICAO airport code assigned to Taif Regional Airport in Taif, Saudi Arabia.
-
B.
Rec. 709
Rec. 709 is the ITU-R standard that defines the color space, transfer characteristics, and other parameters for HDTV video, widely used as the baseline for high-definition television and video production.
-
C.
OEDF
OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
-
D.
SMPTE ST 2084
SMPTE ST 2084 is a high-dynamic-range (HDR) electro‑optical transfer function standard, also known as Perceptual Quantizer (PQ), widely used in modern HDR video systems such as HDR10 and Dolby Vision.
-
E.
EBU color bars
EBU color bars are a standardized television test pattern used primarily in Europe to calibrate and align video equipment according to European Broadcasting Union specifications.
- 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: OETF Triple: [King Fahd Air Base, hasICAOCode, OETF]
Generated description
OETF is the ICAO airport code assigned to King Fahd Air Base in Saudi Arabia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OETF Target entity description: OETF is the ICAO airport code assigned to King Fahd Air Base in Saudi Arabia.
-
A.
OETF
chosen
OETF is the ICAO airport code assigned to Taif Regional Airport in Taif, Saudi Arabia.
-
B.
Rec. 709
Rec. 709 is the ITU-R standard that defines the color space, transfer characteristics, and other parameters for HDTV video, widely used as the baseline for high-definition television and video production.
-
C.
OEDF
OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
-
D.
SMPTE ST 2084
SMPTE ST 2084 is a high-dynamic-range (HDR) electro‑optical transfer function standard, also known as Perceptual Quantizer (PQ), widely used in modern HDR video systems such as HDR10 and Dolby Vision.
-
E.
EBU color bars
EBU color bars are a standardized television test pattern used primarily in Europe to calibrate and align video equipment according to European Broadcasting Union specifications.
- F. None of above.
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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d6975c8190a512a65d5b0021bb |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0bfd08819083afc4bea1b99aad |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0001b815c481908ed6fcaea42ee9fc |
completed | May 10, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0002106a5c8190b92d27f01178a321 |
completed | May 10, 2026, 3:57 a.m. |
Created at: April 10, 2026, 5:02 a.m.