Triple
T1655640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sphinx International Airport |
E35792
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SPX
SPX is the IATA airport code for Sphinx International Airport, a commercial airport serving the Giza/Cairo region of Egypt.
|
E187745
|
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: SPX | Statement: [Sphinx International Airport, IATAcode, SPX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPX Context triple: [Sphinx International Airport, IATAcode, SPX]
-
A.
SPX
SPX is the ticker symbol for the S&P 500, a major U.S. stock market index tracking the performance of 500 large publicly traded companies.
-
B.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
C.
SPR
The Strategic Petroleum Reserve (SPR) is the United States’ emergency stockpile of crude oil maintained to mitigate disruptions in petroleum supplies.
-
D.
S&P 90 Index
The S&P 90 Index was an early U.S. stock market index composed of 90 leading companies, serving as a precursor to the broader S&P 500.
-
E.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
- 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: SPX Triple: [Sphinx International Airport, IATAcode, SPX]
Generated description
SPX is the IATA airport code for Sphinx International Airport, a commercial airport serving the Giza/Cairo region of Egypt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SPX Target entity description: SPX is the IATA airport code for Sphinx International Airport, a commercial airport serving the Giza/Cairo region of Egypt.
-
A.
SPX
SPX is the ticker symbol for the S&P 500, a major U.S. stock market index tracking the performance of 500 large publicly traded companies.
-
B.
SPS
SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
-
C.
SPR
The Strategic Petroleum Reserve (SPR) is the United States’ emergency stockpile of crude oil maintained to mitigate disruptions in petroleum supplies.
-
D.
S&P 90 Index
The S&P 90 Index was an early U.S. stock market index composed of 90 leading companies, serving as a precursor to the broader S&P 500.
-
E.
Spontex
Spontex is a household cleaning products brand, best known for its sponges and related cleaning tools, owned by Newell Brands.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb4535180819088e3bdaa591dcdbd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6821d18c8190b411bb031c142580 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.