Triple
T8643178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSSS |
E204704
|
entity |
| Predicate | icaoCode |
P419
|
FINISHED |
| Object | HSSS |
E204704
|
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: HSSS | Statement: [HSSS, icaoCode, HSSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSSS Context triple: [HSSS, icaoCode, HSSS]
-
A.
HSSS
chosen
HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
-
B.
HSS
HSS is the abbreviation for the Holly Springs Salamanders, a collegiate summer baseball team based in Holly Springs, North Carolina.
-
C.
HSS
HSS (Home Subscriber Server) is a core network database in IP Multimedia Subsystem (IMS) architectures that manages user identities, subscription profiles, and authentication for telecom services.
-
D.
SSS
SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
-
E.
WSSS
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc479720f481908ee2b12c2775e76a |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc42922c819099a464d2e347dec4 |
completed | April 2, 2026, 6:58 p.m. |
Created at: March 30, 2026, 6:28 p.m.