Triple
T18618610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gojjam |
E455092
|
entity |
| Predicate | historicalTown |
P43430
|
FINISHED |
| Object |
Motā
Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
|
E1333348
|
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: Motā | Statement: [Gojjam, historicalTown, Motā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motā Context triple: [Gojjam, historicalTown, Motā]
-
A.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
B.
Matatā
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
-
C.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
D.
Muotathal
Muotathal is a Swiss municipality in the canton of Schwyz, known for its long valley setting in the Alps and traditional rural character.
-
E.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
- 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: Motā Triple: [Gojjam, historicalTown, Motā]
Generated description
Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motā Target entity description: Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
-
A.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
B.
Matatā
Matatā is a small coastal township in New Zealand’s Bay of Plenty region, known for its strong Māori heritage and community ties.
-
C.
Mottama
Mottama is a historic port town in southeastern Myanmar, long known as Martaban, which was once an important trading center in the region.
-
D.
Muotathal
Muotathal is a Swiss municipality in the canton of Schwyz, known for its long valley setting in the Alps and traditional rural character.
-
E.
Matua
Matua is a volcanic island in the central Kuril Islands chain, notable for its World War II-era Japanese military installations and strategic location in the northwest Pacific.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d07dc288190bb3b8b5ab06518da |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050390bd4c8190b623f08a12eee39b |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a050455e6e8819084927b1c2d4a5237 |
completed | May 13, 2026, 11:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505cbc11481908e61d90dd64f6212 |
completed | May 13, 2026, 11:14 p.m. |
Created at: April 10, 2026, 11:46 a.m.