Triple
T36943715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorna Fencer Napurrurla |
E913846
|
entity |
| Predicate | hasSkinName |
P186760
|
FINISHED |
| Object |
Napurrurla
Napurrurla is a Warlpiri skin name used in central Australian Aboriginal kinship systems to denote a specific subsection and social identity.
|
E2204813
|
NE FINISHED |
How this triple was built (3 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: Napurrurla | Statement: [Lorna Fencer Napurrurla, hasSkinName, Napurrurla]
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: Napurrurla Triple: [Lorna Fencer Napurrurla, hasSkinName, Napurrurla]
Generated description
Napurrurla is a Warlpiri skin name used in central Australian Aboriginal kinship systems to denote a specific subsection and social identity.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkinName Context triple: [Lorna Fencer Napurrurla, hasSkinName, Napurrurla]
-
A.
hasSkin
Indicates that one entity possesses skin as a covering or outer tissue layer.
-
B.
hasFacialSkinColor
Indicates that one entity has a specific facial skin color characterized or attributed by another entity.
-
C.
fruitSkinColor
Indicates the color of the outer skin or peel of a fruit.
-
D.
hasNameCharacteristic
Indicates that an entity possesses a specific quality or attribute related to its name.
-
E.
skinningMethod
Indicates the technique or process used to remove or separate the outer layer (such as skin or covering) from an object or material.
- F. None of above. chosen
Provenance (7 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e16450d288190b530a1b0b67208ff |
completed | June 26, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a3e16c86a84819085a695e70971c83b |
completed | June 26, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e1de0bf6c819085b7d2ac2759776c |
completed | June 26, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.