Triple
T6564549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apma |
E153868
|
entity |
| Predicate | neighboringLanguage |
P16383
|
FINISHED |
| Object |
Sowa
Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
|
E603804
|
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: Sowa | Statement: [Apma, neighboringLanguage, Sowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sowa Context triple: [Apma, neighboringLanguage, Sowa]
-
A.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
B.
Sowams
Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
-
C.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
D.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
E.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
- 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: Sowa Triple: [Apma, neighboringLanguage, Sowa]
Generated description
Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sowa Target entity description: Sowa is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Apma language.
-
A.
Saru
Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
-
B.
Sowams
Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
-
C.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
D.
Sibari
Sibari is a town in southern Italy’s Calabria region, located near the archaeological remains of the ancient Greek city of Sybaris.
-
E.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:52 p.m.