Triple
T3402485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gambia River |
E71687
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object |
Kuntaur
Kuntaur is a small riverside town in central Gambia that serves as an important inland hub for river transport and trade.
|
E356106
|
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: Kuntaur | Statement: [Gambia River, majorPort, Kuntaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuntaur Context triple: [Gambia River, majorPort, Kuntaur]
-
A.
Raidurg
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
-
B.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
C.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
D.
Kodava
Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
-
E.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
- 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: Kuntaur Triple: [Gambia River, majorPort, Kuntaur]
Generated description
Kuntaur is a small riverside town in central Gambia that serves as an important inland hub for river transport and trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuntaur Target entity description: Kuntaur is a small riverside town in central Gambia that serves as an important inland hub for river transport and trade.
-
A.
Raidurg
Raidurg is a rapidly developing commercial and residential neighborhood in Hyderabad’s IT hub, known for its proximity to major tech parks and infrastructure in the Cyberabad area.
-
B.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
C.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
-
D.
Kodava
Kodava is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
-
E.
Kamorta
Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e78ec8819089417666dc29f412 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bd4d02881909c365e054148ae8c |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4792608190b74e02e065d4bc68 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3525f44948190af72b177193edca4 |
completed | March 12, 2026, 11:55 p.m. |
Created at: March 8, 2026, 3:14 p.m.