Triple
T1598064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krabi |
E34328
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object |
Ko Poda
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
|
E185912
|
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: Ko Poda | Statement: [Krabi, hasIsland, Ko Poda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko Poda Context triple: [Krabi, hasIsland, Ko Poda]
-
A.
Koya
Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
-
B.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
C.
Waikabubak
Waikabubak is a traditional town on the Indonesian island of Sumba known for its megalithic tombs and distinctive Marapu culture.
-
D.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
E.
Ko Tao
Ko Tao is a small island in the Gulf of Thailand renowned for its scuba diving, coral reefs, and laid-back beach 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: Ko Poda Triple: [Krabi, hasIsland, Ko Poda]
Generated description
Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ko Poda Target entity description: Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
-
A.
Koya
Koya is a Dravidian language spoken primarily by the Koya tribal communities in parts of central and southern India.
-
B.
Nokuku
Nokuku is an indigenous Oceanic language spoken by a small community in Vanuatu.
-
C.
Waikabubak
Waikabubak is a traditional town on the Indonesian island of Sumba known for its megalithic tombs and distinctive Marapu culture.
-
D.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
E.
Ko Tao
Ko Tao is a small island in the Gulf of Thailand renowned for its scuba diving, coral reefs, and laid-back beach 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092f5f148190b987bc943e89e29c |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad608dfc688190a81a502c810f67fb |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad61e9f1e88190abdd07084e107fca |
completed | March 8, 2026, 11:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad625af68481908dc5d43781aeff03 |
completed | March 8, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:27 p.m.