Triple
T3112787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lineyte-Samarnon |
E64987
|
entity |
| Predicate | altName |
P39
|
FINISHED |
| Object | Samarnon |
E64987
|
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: Samarnon | Statement: [Lineyte-Samarnon, altName, Samarnon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samarnon Context triple: [Lineyte-Samarnon, altName, Samarnon]
-
A.
Lineyte-Samarnon
chosen
Lineyte-Samarnon is an alternative name for the Waray language, an Austronesian language spoken in the Eastern Visayas region of the Philippines.
-
B.
Sokar
Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
-
C.
Kamiros
Kamiros is an ancient city and archaeological site on the northwest coast of Rhodes, known for its well-preserved Hellenistic ruins and grid-planned layout.
-
D.
Mora
Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224c9ecd481909198bb0a6c0c31e8 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.