Triple
T8773584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochin International Airport |
E208522
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Nedumbassery
Nedumbassery is a suburban area near Kochi in the Indian state of Kerala, best known for hosting Cochin International Airport.
|
E757695
|
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: Nedumbassery | Statement: [Cochin International Airport, locatedIn, Nedumbassery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nedumbassery Context triple: [Cochin International Airport, locatedIn, Nedumbassery]
-
A.
Ukkadam
Ukkadam is a prominent commercial and transport hub in Coimbatore, Tamil Nadu, known for its busy markets and connectivity.
-
B.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
C.
Peelamedu
Peelamedu is a prominent residential and commercial neighborhood in Coimbatore, Tamil Nadu, known for its educational institutions, industries, and proximity to major transport hubs.
-
D.
Suthen
Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
-
E.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
- 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: Nedumbassery Triple: [Cochin International Airport, locatedIn, Nedumbassery]
Generated description
Nedumbassery is a suburban area near Kochi in the Indian state of Kerala, best known for hosting Cochin International Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nedumbassery Target entity description: Nedumbassery is a suburban area near Kochi in the Indian state of Kerala, best known for hosting Cochin International Airport.
-
A.
Ukkadam
Ukkadam is a prominent commercial and transport hub in Coimbatore, Tamil Nadu, known for its busy markets and connectivity.
-
B.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
C.
Peelamedu
Peelamedu is a prominent residential and commercial neighborhood in Coimbatore, Tamil Nadu, known for its educational institutions, industries, and proximity to major transport hubs.
-
D.
Suthen
Suthen was a medieval Scottish noblewoman known primarily as the mother of King Malcolm III of Scotland.
-
E.
Thottiyam
Thottiyam is a town and administrative region in the Indian state of Tamil Nadu, known for its agricultural surroundings and local temples.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51c0125c819098deb7a54688b125 |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf5378c3f48190a4180c20aecb2260 |
completed | April 3, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5471e9c08190963b7f1d6c2ceffe |
completed | April 3, 2026, 5:47 a.m. |
Created at: March 30, 2026, 6:41 p.m.