Triple
T20046963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H.A.S. Hanandjoeddin International Airport |
E497584
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
TJQ
TJQ is the IATA airport code for H.A.S. Hanandjoeddin International Airport serving Belitung Island in Indonesia.
|
E1409229
|
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: TJQ | Statement: [H.A.S. Hanandjoeddin International Airport, IATA code, TJQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TJQ Context triple: [H.A.S. Hanandjoeddin International Airport, IATA code, TJQ]
-
A.
TJBQ
TJBQ is the ICAO airport code for Rafael Hernández Airport, a public international airport serving Aguadilla in Puerto Rico.
-
B.
TJ
TJ is a highly selective, STEM-focused public magnet high school in Northern Virginia renowned for its rigorous academics and advanced research opportunities.
-
C.
TJ
TJ is the two-letter ISO 3166-1 alpha-2 country code assigned to Tajikistan.
-
D.
TJ
TJ is the commonly used abbreviation for TransJakarta, Jakarta’s bus rapid transit system.
-
E.
TJ
TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
- 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: TJQ Triple: [H.A.S. Hanandjoeddin International Airport, IATA code, TJQ]
Generated description
TJQ is the IATA airport code for H.A.S. Hanandjoeddin International Airport serving Belitung Island in Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TJQ Target entity description: TJQ is the IATA airport code for H.A.S. Hanandjoeddin International Airport serving Belitung Island in Indonesia.
-
A.
TJBQ
TJBQ is the ICAO airport code for Rafael Hernández Airport, a public international airport serving Aguadilla in Puerto Rico.
-
B.
TJ
TJ is the commonly used abbreviation for TransJakarta, Jakarta’s bus rapid transit system.
-
C.
TJ
TJ is the two-letter ISO 3166-1 alpha-2 country code assigned to Tajikistan.
-
D.
TJ
TJ is a highly selective, STEM-focused public magnet high school in Northern Virginia renowned for its rigorous academics and advanced research opportunities.
-
E.
TJ
TJ is a software developer best known for creating the Node.js web framework Express and numerous other open-source tools.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632b2de48190abe2b277d89eb695 |
completed | April 20, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a081603b36c8190b82688c3235fc794 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a08180e5e988190a846aef83802cfc3 |
completed | May 16, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0818970bb081908093589df4fc65b6 |
completed | May 16, 2026, 7:11 a.m. |
Created at: April 11, 2026, 3:37 p.m.