Triple
T1643113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinian |
E35517
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object |
TIQ
TIQ is the IATA airport code for Tinian International Airport serving the island of Tinian in the Northern Mariana Islands.
|
E186624
|
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: TIQ | Statement: [Tinian, iataCode, TIQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIQ Context triple: [Tinian, iataCode, TIQ]
-
A.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
qi
Qi is the fundamental life force or vital energy in Taoist cosmology, believed to animate and connect all things in the universe.
-
D.
Tipai
Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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: TIQ Triple: [Tinian, iataCode, TIQ]
Generated description
TIQ is the IATA airport code for Tinian International Airport serving the island of Tinian in the Northern Mariana Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TIQ Target entity description: TIQ is the IATA airport code for Tinian International Airport serving the island of Tinian in the Northern Mariana Islands.
-
A.
TI
TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
-
B.
TIJ
TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
-
C.
qi
Qi is the fundamental life force or vital energy in Taoist cosmology, believed to animate and connect all things in the universe.
-
D.
Tipai
Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
-
E.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
- 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_69a88604618c81908b41f6429c431eb6 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a0096c81909dc723d0db95481e |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad620fe35481909bf4751001e29161 |
completed | March 8, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad626d42388190b6a961a84333bd21 |
completed | March 8, 2026, 11:50 a.m. |
Created at: March 4, 2026, 7:28 p.m.