Triple
T9645326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Said Airport |
E233178
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | PSD |
E618922
|
NE FINISHED |
How this triple was built (2 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: PSD | Statement: [Port Said Airport, IATAcode, PSD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PSD Context triple: [Port Said Airport, IATAcode, PSD]
-
A.
PSD
PSD is a major center-right political party in Portugal that has played a leading role in the country’s post-revolution democratic politics and governance.
-
B.
PSD
PSD is a major center-left political party in Romania that has played a dominant role in the country’s post-communist politics.
-
C.
PSD
chosen
PSD is Adobe Photoshop’s native layered image file format, widely used in professional graphic design and photo editing for preserving complex edits and high-quality visual data.
-
D.
PSF
PSF is the acronym for the Python Software Foundation, the nonprofit organization that manages and promotes the Python programming language and its community.
-
E.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7fd2308190803a196ecdc80d76 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18258489081909f0b328e223777fc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.