Triple
T7085076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durgapur Airport |
E165054
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Andal
Andal is a town in the Paschim Bardhaman district of West Bengal, India, known as a coal mining and industrial hub in the Raniganj coalfield region.
|
E641054
|
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: Andal | Statement: [Durgapur Airport, locatedNear, Andal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andal Context triple: [Durgapur Airport, locatedNear, Andal]
-
A.
Andal
Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Andalasia
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
-
D.
Azania
Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
-
E.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
- 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: Andal Triple: [Durgapur Airport, locatedNear, Andal]
Generated description
Andal is a town in the Paschim Bardhaman district of West Bengal, India, known as a coal mining and industrial hub in the Raniganj coalfield region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andal Target entity description: Andal is a town in the Paschim Bardhaman district of West Bengal, India, known as a coal mining and industrial hub in the Raniganj coalfield region.
-
A.
Andal
Andal is a revered female Tamil Vaishnavite saint and poet, celebrated for her devotional hymns to Vishnu and her central place in the Sri Vaishnavism tradition.
-
B.
Arandis
Arandis is a small mining town in Namibia known primarily for its proximity to the Rossing uranium mine.
-
C.
Andalasia
Andalasia is the whimsical fairy-tale kingdom from Disney’s film "Enchanted," characterized by its classic animated princess world and magical charm.
-
D.
Azania
Azania is a name used by some African liberation movements and activists to refer to a decolonized, non-apartheid South Africa.
-
E.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e511535c819098f60de54930380f |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7948094ec8190856870dfd59fc13a |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c796acdddc8190a2d20b4d40751359 |
completed | March 28, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c797b416a881908c58376498f20c58 |
completed | March 28, 2026, 8:56 a.m. |
Created at: March 27, 2026, 2:41 p.m.