Triple
T11047698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirion |
E261173
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Tol Sirion |
E890957
|
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: Tol Sirion | Statement: [Sirion, passesNear, Tol Sirion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tol Sirion Context triple: [Sirion, passesNear, Tol Sirion]
-
A.
Calavon
Calavon is a river in southeastern France that flows through the Luberon region of Provence before joining the Durance.
-
B.
Sion
Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
-
C.
Tarna
Tarna is a river in northern Hungary that serves as one of the tributaries feeding into the Zagyva River.
-
D.
Taur-nu-Fuin
chosen
Taur-nu-Fuin is the Sindarin name used in Tolkien’s legendarium for the dark, corrupted forest later known as Mirkwood in Middle-earth.
-
E.
Rhynern
Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798315b988190bc565581b2664009 |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.