Triple
T17816312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occidental Mindoro |
E444849
|
entity |
| Predicate | hasWildlife |
P965
|
FINISHED |
| Object |
tamaraw
The tamaraw is a small, critically endangered wild buffalo species endemic to the Philippine island of Mindoro.
|
E1290155
|
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: tamaraw | Statement: [Occidental Mindoro, hasWildlife, tamaraw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tamaraw Context triple: [Occidental Mindoro, hasWildlife, tamaraw]
-
A.
Tamar-kali
Tamar-kali is an American composer, singer-songwriter, and guitarist known for her genre-blending work and acclaimed film scores, including her breakthrough on the period drama "Mudbound."
-
B.
Tama
Tama is a diminutive form of the given name Tamara, often used as a familiar or affectionate nickname.
-
C.
Tama
Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
-
D.
Tama
Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
-
E.
Tama
Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
- 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: tamaraw Triple: [Occidental Mindoro, hasWildlife, tamaraw]
Generated description
The tamaraw is a small, critically endangered wild buffalo species endemic to the Philippine island of Mindoro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tamaraw Target entity description: The tamaraw is a small, critically endangered wild buffalo species endemic to the Philippine island of Mindoro.
-
A.
Tamar-kali
Tamar-kali is an American composer, singer-songwriter, and guitarist known for her genre-blending work and acclaimed film scores, including her breakthrough on the period drama "Mudbound."
-
B.
Tama
Tama is a diminutive form of the given name Tamara, often used as a familiar or affectionate nickname.
-
C.
Tama
Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
-
D.
Tama
Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
-
E.
Tama
Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887f7d048190b6d813b9f0fab3e7 |
completed | April 19, 2026, 7:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff643ca08190a427b7cabfd91dab |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a0303b3b4c881908960293a5985d8c7 |
completed | May 12, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030408cebc8190835c005a5f380793 |
completed | May 12, 2026, 10:42 a.m. |
Created at: April 10, 2026, 10:14 a.m.