Triple
T8658717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dasmariñas |
E205490
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Dasma
Dasma is a common nickname for Dasmariñas, a highly urbanized city in the province of Cavite in the Philippines.
|
E748839
|
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: Dasma | Statement: [Dasmariñas, hasNickname, Dasma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasma Context triple: [Dasmariñas, hasNickname, Dasma]
-
A.
Dasma
Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
-
B.
Dumarao
Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
-
E.
Gamasa
Gamasa is a coastal city in Egypt’s Dakahlia Governorate, known for its Mediterranean shoreline and role as a regional urban center.
- 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: Dasma Triple: [Dasmariñas, hasNickname, Dasma]
Generated description
Dasma is a common nickname for Dasmariñas, a highly urbanized city in the province of Cavite in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dasma Target entity description: Dasma is a common nickname for Dasmariñas, a highly urbanized city in the province of Cavite in the Philippines.
-
A.
Dasma
Dasma is a residential district in Kuwait City, located within the Al Asimah Governorate.
-
B.
Dumarao
Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
-
C.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
D.
Dasuya
Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
-
E.
Gamasa
Gamasa is a coastal city in Egypt’s Dakahlia Governorate, known for its Mediterranean shoreline and role as a regional urban center.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486ece68819089c74bdf98b64490 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccf559c4819089dfb8d6b11de1df |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.