Triple
T15901865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Luzon languages |
E385607
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object | Ayta Umiray |
E654676
|
NE FINISHED |
How this triple was built (2 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: Ayta Umiray | Statement: [Central Luzon languages, hasMajorLanguage, Ayta Umiray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayta Umiray Context triple: [Central Luzon languages, hasMajorLanguage, Ayta Umiray]
-
A.
Ayta
chosen
Ayta are an indigenous people of the Philippines, traditionally semi-nomadic hunter-gatherers known for their distinct languages, dark complexion, and rich forest-based culture.
-
B.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
C.
Yazgulyam
Yazgulyam is a rare and highly conservative Eastern Iranian language spoken in the Yazgulyam Valley of Tajikistan.
-
D.
Asmat
Asmat is a town located in the Anseba region of Eritrea.
-
E.
Imli Tala
Imli Tala is a revered sacred spot in Vrindavan associated with Lord Krishna’s pastimes, known for its ancient tamarind tree and devotional significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563db01081908dd94a2536ef2107 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe6cd5a881908716f1dcf7d77004 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.