Triple
T4513430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirupati Airport |
E102101
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
TIR
TIR is the IATA airport code for Tirupati Airport, which serves the pilgrimage city of Tirupati in Andhra Pradesh, India.
|
E448559
|
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: TIR | Statement: [Tirupati Airport, IATAcode, TIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIR Context triple: [Tirupati Airport, IATAcode, TIR]
-
A.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
TRV
TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
-
D.
Traficom
Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
-
E.
TRA
TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
- 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: TIR Triple: [Tirupati Airport, IATAcode, TIR]
Generated description
TIR is the IATA airport code for Tirupati Airport, which serves the pilgrimage city of Tirupati in Andhra Pradesh, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIR Target entity description: TIR is the IATA airport code for Tirupati Airport, which serves the pilgrimage city of Tirupati in Andhra Pradesh, India.
-
A.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
TRV
TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
-
D.
Traficom
Traficom is Finland’s national authority responsible for regulating and overseeing transport and communications services, infrastructure, and safety.
-
E.
TRA
TRA is the ICAO airline designator assigned to Transavia, a Dutch low-cost carrier operating scheduled and charter flights across Europe and surrounding regions.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5722d8fc81909c5f2d9a38d17a6b |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f8b19ac819099e9249d31660f52 |
completed | March 20, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_69bd84bc88548190a856ddd108ef1495 |
completed | March 20, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd854bb4408190b97fd3b7fbf4fcaf |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 20, 2026, 1:02 p.m.