Triple
T15664899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yehliu Geopark |
E377161
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Tofu Rock
Tofu Rock is a distinctively shaped rock formation in Taiwan’s Yehliu Geopark, noted for its smooth, block-like appearance reminiscent of a piece of tofu.
|
E1169895
|
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: Tofu Rock | Statement: [Yehliu Geopark, hasFeature, Tofu Rock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tofu Rock Context triple: [Yehliu Geopark, hasFeature, Tofu Rock]
-
A.
Tofol
Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
-
B.
Temaiku
Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
-
C.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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: Tofu Rock Triple: [Yehliu Geopark, hasFeature, Tofu Rock]
Generated description
Tofu Rock is a distinctively shaped rock formation in Taiwan’s Yehliu Geopark, noted for its smooth, block-like appearance reminiscent of a piece of tofu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tofu Rock Target entity description: Tofu Rock is a distinctively shaped rock formation in Taiwan’s Yehliu Geopark, noted for its smooth, block-like appearance reminiscent of a piece of tofu.
-
A.
Tofol
Tofol is the administrative center and main town of Kosrae State in the Federated States of Micronesia.
-
B.
Temaiku
Temaiku is a settlement on the atoll of Tarawa in Kiribati, located near Bonriki and known for its coastal village community.
-
C.
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
D.
Tocho
Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
| NEDg | Description generation | batch_69ff68af38848190975e374b2c8c917b |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69660b6c819082dbdf06db1c8fe3 |
completed | May 9, 2026, 5:05 p.m. |
Created at: April 10, 2026, 4:16 a.m.