Triple
T2462680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chimborazo Province |
E54567
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pallatanga
Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
|
E269536
|
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: Pallatanga | Statement: [Chimborazo Province, contains, Pallatanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pallatanga Context triple: [Chimborazo Province, contains, Pallatanga]
-
A.
Mangalia
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
-
B.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
C.
Tatabánya
Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
-
D.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
E.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
- 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: Pallatanga Triple: [Chimborazo Province, contains, Pallatanga]
Generated description
Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pallatanga Target entity description: Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
-
A.
Mangalia
Mangalia is a Romanian Black Sea coastal resort town known for its ancient history, beaches, and spa tourism.
-
B.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
C.
Tatabánya
Tatabánya is an industrial city in northwestern Hungary known for its mining heritage and role as a regional economic center.
-
D.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
E.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11f093c8190877db3026d430bd5 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179665d081909f9a761fa50c44e7 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af185baf5c8190b8aa3dc672f2e1be |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18d8ab0881908ecd027080f96e0e |
completed | March 9, 2026, 7 p.m. |
Created at: March 6, 2026, 9:44 p.m.