Triple
T10780682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thivim railway station |
E254310
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Candolim |
E256243
|
NE FINISHED |
How this triple was built (2 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: Candolim | Statement: [Thivim railway station, serves, Candolim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candolim Context triple: [Thivim railway station, serves, Candolim]
-
A.
Candolim Beach
chosen
Candolim Beach is a popular yet relatively tranquil beach in North Goa, India, known for its long sandy shoreline, water sports, and vibrant shacks and nightlife.
-
B.
Kalady
Kalady is a village in the Indian state of Kerala, revered as the birthplace of the 8th-century philosopher and theologian Adi Shankaracharya and an important Hindu pilgrimage center.
-
C.
Panambi
Panambi is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
D.
Kumarakom
Kumarakom is a popular backwater tourism destination and village in Kerala, India, known for its houseboat cruises, bird sanctuary, and scenic location amid the Vembanad wetlands.
-
E.
Agumbe
Agumbe is a small hill station in the Western Ghats of Karnataka, India, renowned for its heavy rainfall, lush rainforests, and rich biodiversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c48c488190a2b3162202b74726 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.