Triple
T11569024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nargothrond |
E274335
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Narog |
E901146
|
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: Narog | Statement: [Nargothrond, locatedOnRiver, Narog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narog Context triple: [Nargothrond, locatedOnRiver, Narog]
-
A.
Narog
chosen
Narog is a river in J.R.R. Tolkien’s Middle-earth, known for flowing through western Beleriand and giving its name to the realm of Nargothrond.
-
B.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
-
C.
Nayon
Nayon is the third month of the traditional Burmese calendar, typically falling around May–June and associated with the onset of the monsoon season and various religious observances.
-
D.
Tubigon
Tubigon is a coastal municipality in the Philippine province of Bohol, known as a busy port town and gateway to nearby islands such as Cebu.
-
E.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.