Triple
T2229727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong Kong Stock Exchange |
E48735
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Main Board |
E190323
|
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: Main Board | Statement: [Hong Kong Stock Exchange, hasComponent, Main Board]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Board Context triple: [Hong Kong Stock Exchange, hasComponent, Main Board]
-
A.
Main Board
chosen
The Main Board of the Shanghai Stock Exchange is its primary market segment where large, established companies list and trade their shares.
-
B.
Main
The Main is a major river in Germany that flows through central regions including the state of Bavaria before joining the Rhine.
-
C.
Main Terminal
Main Terminal is the primary passenger terminal complex at Geneva Airport, handling most of the airport’s check-in, security, and boarding operations.
-
D.
Main Terminal
Main Terminal is the primary passenger terminal complex at St. Louis Lambert International Airport, housing most of the airport’s check-in, security, and boarding facilities.
-
E.
Main Terminal
Main Terminal is the central passenger hub and primary concourse complex at Tampa International Airport, housing ticketing, security, baggage claim, and connections to the airport’s airsides.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc069e0ac8190bcda8cba9f5c7a5d |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae656a1f788190a08c3283bfedb6f4 |
completed | March 9, 2026, 6:15 a.m. |
Created at: March 4, 2026, 7:47 p.m.