Triple
T2131801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabha Airport |
E46556
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object | HLLS |
E46557
|
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: HLLS | Statement: [Sabha Airport, ICAO code, HLLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLLS Context triple: [Sabha Airport, ICAO code, HLLS]
-
A.
HLLS
chosen
HLLS is the ICAO airport code for Sabha Airport, a public airport serving the city of Sabha in southwestern Libya.
-
B.
HLLB
HLLB is the ICAO airport code for Benina International Airport, the main airport serving Benghazi in eastern Libya.
-
C.
HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
-
D.
HSSS
HSSS is the ICAO airport code for Khartoum International Airport, the main international gateway to Sudan’s capital city.
-
E.
HRL
HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7b13ac819094d43159fff984cf |
completed | March 7, 2026, 5:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d10bec8190bf21718649552118 |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.