Triple
T8236281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qeshm Air |
E192414
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
QESHM AIR
QESHM AIR is an Iranian airline based on Qeshm Island that operates domestic and regional passenger flights.
|
E720784
|
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: QESHM AIR | Statement: [Qeshm Air, callsign, QESHM AIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QESHM AIR Context triple: [Qeshm Air, callsign, QESHM AIR]
-
A.
Almaliq
Almaliq was a prominent medieval Central Asian city that served as a key political and commercial center along the Silk Road.
-
B.
Qeshm Free Area
Qeshm Free Area is a special economic zone on Qeshm Island in southern Iran, established to promote trade, investment, and tourism through tax incentives and relaxed regulations.
-
C.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
-
D.
Kazerun
Kazerun is a historic city in southwestern Iran known for its proximity to the ancient ruins of Bishapur and its cultural significance within Fars Province.
-
E.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
- 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: QESHM AIR Triple: [Qeshm Air, callsign, QESHM AIR]
Generated description
QESHM AIR is an Iranian airline based on Qeshm Island that operates domestic and regional passenger flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QESHM AIR Target entity description: QESHM AIR is an Iranian airline based on Qeshm Island that operates domestic and regional passenger flights.
-
A.
Almaliq
Almaliq was a prominent medieval Central Asian city that served as a key political and commercial center along the Silk Road.
-
B.
Qeshm Free Area
Qeshm Free Area is a special economic zone on Qeshm Island in southern Iran, established to promote trade, investment, and tourism through tax incentives and relaxed regulations.
-
C.
Taftan
Taftan is a town in Pakistan’s Balochistan province known as a key border crossing and trade gateway between Pakistan and Iran.
-
D.
Kazerun
Kazerun is a historic city in southwestern Iran known for its proximity to the ancient ruins of Bishapur and its cultural significance within Fars Province.
-
E.
Hafezieh
Hafezieh is a famous mausoleum and cultural site in Shiraz, Iran, dedicated to the revered Persian poet Hafez and known for its beautiful gardens and traditional architecture.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb782a5e18819096235679f5a644a8 |
completed | March 31, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd34fb069c8190965d69fae908482e |
completed | April 1, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69cd37a47f3c81909491e9b0316c32f0 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4ecc8d68819099932b1ecefc0d36 |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:47 p.m.