Triple
T13631423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSI |
E325726
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | HSI |
E325726
|
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: HSI | Statement: [HSI, abbreviation, HSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSI Context triple: [HSI, abbreviation, HSI]
-
A.
HSI
chosen
HSI is the principal investigative arm of the U.S. Department of Homeland Security, responsible for enforcing federal laws related to border security, customs, immigration, and transnational crime.
-
B.
^HSI
^HSI is the ticker symbol used to represent the Hang Seng Index, a major stock market index tracking the performance of large companies listed on the Hong Kong Stock Exchange.
-
C.
HSCI
HSCI is the data vendor code used to identify the Hang Seng Composite Index, a major benchmark tracking the performance of companies listed on the Hong Kong Stock Exchange.
-
D.
HSCEI
HSCEI is a major stock market index that tracks the performance of Chinese enterprises listed in Hong Kong, often used as a benchmark for China-related equities.
-
E.
DSI
DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9ea9088190a17270dec82bbcaa |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fab07648190b3b3362a8ffa8961 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:51 p.m.