Triple
T23505558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sampang language |
E572271
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Sampang Kha
Sampang Kha is an alternative name for the Sampang language, a Kiranti language spoken by the Sampang people of eastern Nepal.
|
E1589126
|
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: Sampang Kha | Statement: [Sampang language, alternateName, Sampang Kha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sampang Kha Context triple: [Sampang language, alternateName, Sampang Kha]
-
A.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
-
B.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
C.
Gandrung
Gandrung is a traditional Javanese dance and musical performance from Banyuwangi, East Java, celebrated for its graceful movements and lively accompaniment, often staged at communal festivities.
-
D.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
E.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
- 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: Sampang Kha Triple: [Sampang language, alternateName, Sampang Kha]
Generated description
Sampang Kha is an alternative name for the Sampang language, a Kiranti language spoken by the Sampang people of eastern Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sampang Kha Target entity description: Sampang Kha is an alternative name for the Sampang language, a Kiranti language spoken by the Sampang people of eastern Nepal.
-
A.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
-
B.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
C.
Gandrung
Gandrung is a traditional Javanese dance and musical performance from Banyuwangi, East Java, celebrated for its graceful movements and lively accompaniment, often staged at communal festivities.
-
D.
Banmauk
Banmauk is a town in northern Myanmar known for its rural setting and role as a local center of trade and administration.
-
E.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8ff97c88190a67f787e1674619e |
completed | April 29, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8277b97481909b1405fd7469b910 |
completed | May 19, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a0ca6f2d4288190b0b5fd46d2a387bf |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7f09af48190b7bfdae25d2f286b |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 6:07 p.m.