Triple
T3227674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Navy |
E67661
|
entity |
| Predicate | hasNavalBase |
P1869
|
FINISHED |
| Object |
INS Garuda
INS Garuda is a major Indian naval air station located in Kochi, Kerala, serving as one of the Indian Navy’s primary aviation bases.
|
E337440
|
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: INS Garuda | Statement: [Indian Navy, hasNavalBase, INS Garuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INS Garuda Context triple: [Indian Navy, hasNavalBase, INS Garuda]
-
A.
Garuda Indonesia
Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
-
B.
Lion Air
Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
-
C.
Mahan Air
Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
-
D.
Sriwijaya Air
Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
-
E.
Indonesian Air Force
The Indonesian Air Force is the aerial warfare branch of Indonesia's military, responsible for defending the nation's airspace and conducting air operations.
- 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: INS Garuda Triple: [Indian Navy, hasNavalBase, INS Garuda]
Generated description
INS Garuda is a major Indian naval air station located in Kochi, Kerala, serving as one of the Indian Navy’s primary aviation bases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INS Garuda Target entity description: INS Garuda is a major Indian naval air station located in Kochi, Kerala, serving as one of the Indian Navy’s primary aviation bases.
-
A.
Garuda Indonesia
Garuda Indonesia is the national flag carrier airline of Indonesia, operating domestic and international flights across Asia, Australia, the Middle East, and Europe.
-
B.
Lion Air
Lion Air is a major Indonesian low-cost airline operating extensive domestic and regional routes across Southeast Asia.
-
C.
Mahan Air
Mahan Air is a major Iranian private airline that operates domestic and international flights across Asia, Europe, and the Middle East.
-
D.
Sriwijaya Air
Sriwijaya Air is an Indonesian airline that operates domestic and regional flights across Southeast Asia.
-
E.
Indonesian Air Force
The Indonesian Air Force is the aerial warfare branch of Indonesia's military, responsible for defending the nation's airspace and conducting air operations.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26262af848190a918f3a606bfa616 |
completed | March 12, 2026, 6:51 a.m. |
| NEDg | Description generation | batch_69b264e25bd48190978a289565854297 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b265cd3fcc8190bc56bbf2de229386 |
completed | March 12, 2026, 7:05 a.m. |
Created at: March 8, 2026, 3:08 p.m.