Triple
T9619181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shillong Airport |
E232296
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object | SHL |
E686508
|
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: SHL | Statement: [Shillong Airport, hasIATAcode, SHL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHL Context triple: [Shillong Airport, hasIATAcode, SHL]
-
A.
SHL
SHL is Sweden's top professional ice hockey league, featuring the country's highest-level clubs and serving as a premier European hockey competition.
-
B.
SHL
chosen
SHL is the station code for Swan Hill railway station in Victoria, Australia, a regional terminus on the Swan Hill line.
-
C.
SHEL
SHEL is the stock ticker symbol for Shell plc, a major multinational oil and gas company headquartered in the United Kingdom.
-
D.
SCHL
SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
-
E.
Towers Watson
Towers Watson was a global professional services firm specializing in risk management, insurance brokerage, and human capital consulting.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ab0a15481908945b50c622b71b9 |
completed | April 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1796ced5c8190a3f275e03b481a96 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:09 p.m.