Triple
T20767409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abercrombie River |
E511132
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Tuena
Tuena is a small rural village in New South Wales, Australia, historically known for gold mining and situated in the state’s central west region.
|
E1449992
|
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: Tuena | Statement: [Abercrombie River, nearbyTown, Tuena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuena Context triple: [Abercrombie River, nearbyTown, Tuena]
-
A.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
B.
Matanao
Matanao is a municipality located in the province of Davao del Sur in the Philippines, known primarily as an agricultural community.
-
C.
Tura
Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
-
D.
Tura
Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
-
E.
Tura
Tura is a remote urban-type settlement in central Siberia, Russia, historically serving as an administrative center in the Evenk region.
- 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: Tuena Triple: [Abercrombie River, nearbyTown, Tuena]
Generated description
Tuena is a small rural village in New South Wales, Australia, historically known for gold mining and situated in the state’s central west region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tuena Target entity description: Tuena is a small rural village in New South Wales, Australia, historically known for gold mining and situated in the state’s central west region.
-
A.
Teroenza
Teroenza is a character in the Star Wars universe known for being one of the earlier owners of the iconic starship Millennium Falcon.
-
B.
Matanao
Matanao is a municipality located in the province of Davao del Sur in the Philippines, known primarily as an agricultural community.
-
C.
Tura
Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
-
D.
Tura
Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
-
E.
Tura
Tura is a remote urban-type settlement in central Siberia, Russia, historically serving as an administrative center in the Evenk region.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c24df58c8190b37398353ce4bf24 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef8d27dc8190a6ae623f4bbe452e |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f28a96488190bf80089105facd0b |
completed | May 16, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f316e7988190920ec8eeb56e76a2 |
completed | May 16, 2026, 10:43 p.m. |
Created at: April 16, 2026, 12:36 p.m.