Triple
T1742785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama |
E38268
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Tama East
Tama East is a locality within the broader Tama area, likely a smaller community or district that forms part of the larger region.
|
E200420
|
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: Tama East | Statement: [Tama, hasSubregion, Tama East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tama East Context triple: [Tama, hasSubregion, Tama East]
-
A.
Tama North
Tama North is a residential suburb within the city of Tama in Tokyo, Japan, known for its planned neighborhoods and proximity to local parks and amenities.
-
B.
Tama South
Tama South is a subregion within the city of Tama in Tokyo, Japan, generally referring to its southern residential and commercial districts.
-
C.
Tama West
Tama West is a local administrative and residential area within the broader Tama region of western Tokyo, Japan.
-
D.
Tama Hills
Tama Hills is a hilly, wooded area in western Tokyo and Kanagawa Prefecture known for its parks, residential neighborhoods, and natural landscapes on the outskirts of the Tokyo metropolitan region.
-
E.
Toukley
Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
- 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: Tama East Triple: [Tama, hasSubregion, Tama East]
Generated description
Tama East is a locality within the broader Tama area, likely a smaller community or district that forms part of the larger region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tama East Target entity description: Tama East is a locality within the broader Tama area, likely a smaller community or district that forms part of the larger region.
-
A.
Tama North
Tama North is a residential suburb within the city of Tama in Tokyo, Japan, known for its planned neighborhoods and proximity to local parks and amenities.
-
B.
Tama South
Tama South is a subregion within the city of Tama in Tokyo, Japan, generally referring to its southern residential and commercial districts.
-
C.
Tama West
Tama West is a local administrative and residential area within the broader Tama region of western Tokyo, Japan.
-
D.
Tama Hills
Tama Hills is a hilly, wooded area in western Tokyo and Kanagawa Prefecture known for its parks, residential neighborhoods, and natural landscapes on the outskirts of the Tokyo metropolitan region.
-
E.
Toukley
Toukley is a coastal town in New South Wales, Australia, situated between Tuggerah Lake and Budgewoi Lake on the Central Coast.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c836d48190bd44ea24977aba2d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5c065088190b831c65ae55eed14 |
completed | March 8, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69adb69b142c81909dd8bd40e8e440ad |
completed | March 8, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb8bac99081908cf126d42c609559 |
completed | March 8, 2026, 5:58 p.m. |
Created at: March 4, 2026, 7:30 p.m.