Triple
T7472186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halim Perdanakusuma International Airport |
E176533
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | HLP |
E419620
|
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: HLP | Statement: [Halim Perdanakusuma International Airport, IATAcode, HLP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HLP Context triple: [Halim Perdanakusuma International Airport, IATAcode, HLP]
-
A.
HLP
chosen
HLP is the ICAO airline designator assigned to Sky Airline Perú, a Peruvian low-cost carrier.
-
B.
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.
-
C.
HLF
HLF is the stock ticker symbol for Herbalife, a global multi-level marketing company that sells nutritional supplements and personal care products.
-
D.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
E.
HRLT
HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f415b5cc81909e1e097c90f460b6 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83480a40c8190a7ae3e08022735a1 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:41 p.m.