Triple
T14067950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karur |
E338524
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object |
Dindigul
Dindigul is a city in the Indian state of Tamil Nadu known for its historic fort, lock and tanneries industries, and role as a regional commercial hub.
|
E1123289
|
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: Dindigul | Statement: [Karur, hasNearbyCity, Dindigul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dindigul Context triple: [Karur, hasNearbyCity, Dindigul]
-
A.
Perambalur
Perambalur is a town and district headquarters in the Indian state of Tamil Nadu, known for its agricultural economy and historical temples.
-
B.
Pattukkottai
Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
-
C.
Erode
Erode is a major city in the South Indian state of Tamil Nadu, known as a textile and turmeric trading hub on the banks of the Kaveri River.
-
D.
Sivaganga
Sivaganga is a parliamentary constituency in the Indian state of Tamil Nadu, known for its political significance and representation in the Lok Sabha.
-
E.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
- 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: Dindigul Triple: [Karur, hasNearbyCity, Dindigul]
Generated description
Dindigul is a city in the Indian state of Tamil Nadu known for its historic fort, lock and tanneries industries, and role as a regional commercial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dindigul Target entity description: Dindigul is a city in the Indian state of Tamil Nadu known for its historic fort, lock and tanneries industries, and role as a regional commercial hub.
-
A.
Perambalur
Perambalur is a town and district headquarters in the Indian state of Tamil Nadu, known for its agricultural economy and historical temples.
-
B.
Pattukkottai
Pattukkottai is a town in the Thanjavur district of Tamil Nadu, India, known for its agricultural economy and role as a regional commercial center.
-
C.
Erode
Erode is a major city in the South Indian state of Tamil Nadu, known as a textile and turmeric trading hub on the banks of the Kaveri River.
-
D.
Sivaganga
Sivaganga is a parliamentary constituency in the Indian state of Tamil Nadu, known for its political significance and representation in the Lok Sabha.
-
E.
Pudukkottai
Pudukkottai is a historic town and administrative center in Tamil Nadu, India, known for its temples, palaces, and archaeological sites.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e47f1c8190a4ad09bc96d35b69 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe664fe96081908ca0923791bd212b |
completed | May 8, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66be64808190bab35f07d556d446 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 9, 2026, 10:21 p.m.