Triple
T6944207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taif Regional Airport |
E160753
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
OETF
OETF is the ICAO airport code assigned to Taif Regional Airport in Taif, 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: [Taif Regional Airport, ICAOcode, OETF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OETF Context triple: [Taif Regional Airport, ICAOcode, OETF]
-
A.
OEDF
OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
-
B.
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.
-
C.
EFM
EFM is a major international film industry marketplace held annually alongside the Berlin International Film Festival, where producers, distributors, and buyers trade and promote films and audiovisual content.
-
D.
OFC
OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
-
E.
OFC
OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
- 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: [Taif Regional Airport, ICAOcode, OETF]
Generated description
OETF is the ICAO airport code assigned to Taif Regional Airport in Taif, 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 Taif Regional Airport in Taif, Saudi Arabia.
-
A.
OEDF
OEDF is the ICAO airport code assigned to King Fahd International Airport in Dammam, Saudi Arabia.
-
B.
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.
-
C.
EFM
EFM is a major international film industry marketplace held annually alongside the Berlin International Film Festival, where producers, distributors, and buyers trade and promote films and audiovisual content.
-
D.
OFC
OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
-
E.
OFC
OFC is the Oceania Football Confederation, the governing body for association football in the Oceania region and one of FIFA’s six continental confederations.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da88b79c8190a8f297dfc4972979 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75866a2408190b472fdad73a8799b |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c75a9485508190b65bb9447b0e3f69 |
completed | March 28, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75b0ec4088190a492faea485dd7d1 |
completed | March 28, 2026, 4:37 a.m. |
Created at: March 27, 2026, 2:28 p.m.