Triple
T10958278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batu Caves |
E258900
|
entity |
| Predicate | nearRiver |
P350
|
FINISHED |
| Object |
Sungai Batu
Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
|
E899273
|
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: Sungai Batu | Statement: [Batu Caves, nearRiver, Sungai Batu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sungai Batu Context triple: [Batu Caves, nearRiver, Sungai Batu]
-
A.
Sungai Pelek
Sungai Pelek is a small town in the Sepang District of Selangor, Malaysia, known for its agricultural activities and proximity to coastal and eco-tourism attractions.
-
B.
Sungai Muntoh
Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
-
C.
Nenggiri River
The Nenggiri River is a significant waterway in Kelantan, Malaysia, known for its natural landscapes and role in regional river systems and development projects.
-
D.
Dungun River
Dungun River is a river in the Malaysian state of Terengganu, known for flowing through the Dungun district toward the South China Sea.
-
E.
Terengganu River
The Terengganu River is a significant waterway in the Malaysian state of Terengganu, flowing through Kuala Terengganu and playing an important role in local transport, fishing, and tourism.
- 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: Sungai Batu Triple: [Batu Caves, nearRiver, Sungai Batu]
Generated description
Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sungai Batu Target entity description: Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
-
A.
Sungai Pelek
Sungai Pelek is a small town in the Sepang District of Selangor, Malaysia, known for its agricultural activities and proximity to coastal and eco-tourism attractions.
-
B.
Sungai Muntoh
Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
-
C.
Nenggiri River
The Nenggiri River is a significant waterway in Kelantan, Malaysia, known for its natural landscapes and role in regional river systems and development projects.
-
D.
Dungun River
Dungun River is a river in the Malaysian state of Terengganu, known for flowing through the Dungun district toward the South China Sea.
-
E.
Terengganu River
The Terengganu River is a significant waterway in the Malaysian state of Terengganu, flowing through Kuala Terengganu and playing an important role in local transport, fishing, and tourism.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77126d9288190aa5daf2ba83d731d |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374226b6081909c8db367e7d468a5 |
completed | April 18, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:23 p.m.