Triple
T22002842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tigak language |
E543374
|
entity |
| Predicate | hasDialects |
P4251
|
FINISHED |
| Object |
Tigak of Lavongai
Tigak of Lavongai is a regional dialect of the Tigak language spoken on Lavongai (New Hanover) Island in Papua New Guinea.
|
E1511904
|
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: Tigak of Lavongai | Statement: [Tigak language, hasDialects, Tigak of Lavongai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigak of Lavongai Context triple: [Tigak language, hasDialects, Tigak of Lavongai]
-
A.
Kauyumari
Kauyumari is a central deer spirit and cultural hero in Wixárika (Huichol) religion, associated with guidance, creation, and the connection between humans, nature, and the sacred.
-
B.
Lamalera
Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
-
C.
Tombatu
Tombatu is a town in North Sulawesi, Indonesia, situated in the vicinity of the active volcano Mount Soputan.
-
D.
El Basatin
El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
-
E.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
- 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: Tigak of Lavongai Triple: [Tigak language, hasDialects, Tigak of Lavongai]
Generated description
Tigak of Lavongai is a regional dialect of the Tigak language spoken on Lavongai (New Hanover) Island in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigak of Lavongai Target entity description: Tigak of Lavongai is a regional dialect of the Tigak language spoken on Lavongai (New Hanover) Island in Papua New Guinea.
-
A.
Kauyumari
Kauyumari is a central deer spirit and cultural hero in Wixárika (Huichol) religion, associated with guidance, creation, and the connection between humans, nature, and the sacred.
-
B.
Lamalera
Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
-
C.
Tombatu
Tombatu is a town in North Sulawesi, Indonesia, situated in the vicinity of the active volcano Mount Soputan.
-
D.
El Basatin
El Basatin is a district in the southern part of Cairo, Egypt, known primarily as a residential area within the Cairo Governorate.
-
E.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d8de70c819098d3726d18624c4a |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e43e9248190ba82f7cc9b4211fe |
completed | May 18, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ece6af88190b9ad30dab4ff7d56 |
completed | May 18, 2026, 1:43 a.m. |
Created at: April 16, 2026, 8:20 p.m.