Triple
T6814855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savannah/Hilton Head International Airport |
E156727
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | SAV |
E456395
|
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: SAV | Statement: [Savannah/Hilton Head International Airport, IATAcode, SAV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAV Context triple: [Savannah/Hilton Head International Airport, IATAcode, SAV]
-
A.
SAV
chosen
SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
-
B.
SAVAMA
SAVAMA was the post-revolution Iranian intelligence and security organization that succeeded the Shah’s notorious secret police, SAVAK.
-
C.
SAVP
SAVP is a profile or configuration associated with the Real-time Transport Protocol (RTP), typically used to define specific parameters or behaviors for secure or specialized media streaming sessions.
-
D.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
E.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32c40508190932718a649fc1417 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723dd82048190969754b388a76913 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.