Triple
T17224101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillston Airport |
E418065
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
HIL
HIL is the IATA airport code for Hillston Airport, a regional airfield serving the area around Hillston, New South Wales, Australia.
|
E1257822
|
NE FINISHED |
How this triple was built (4 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: HIL | Statement: [Hillston Airport, IATAcode, HIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HIL Context triple: [Hillston Airport, IATAcode, HIL]
-
A.
HILJ
HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
-
B.
HILR
HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
-
C.
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.
-
D.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
E.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HIL Triple: [Hillston Airport, IATAcode, HIL]
Generated description
HIL is the IATA airport code for Hillston Airport, a regional airfield serving the area around Hillston, New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HIL Target entity description: HIL is the IATA airport code for Hillston Airport, a regional airfield serving the area around Hillston, New South Wales, Australia.
-
A.
HILJ
HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
-
B.
HILR
HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
-
C.
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.
-
D.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
E.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
- F. None of above. chosen
Provenance (5 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddfe3bc8190b22cee4fc0590b74 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0167596ab481909df59ce68c7f640e |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169f4d520819095774ce5ee2d2220 |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a55114881909496549dfb7b6ff1 |
completed | May 11, 2026, 5:34 a.m. |
Created at: April 10, 2026, 5:38 a.m.