Triple
T3173421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 6 |
E66406
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | Bir-Hakeim |
E12112
|
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: Bir-Hakeim | Statement: [Paris Métro Line 6, servesStation, Bir-Hakeim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bir-Hakeim Context triple: [Paris Métro Line 6, servesStation, Bir-Hakeim]
-
A.
Bir-Hakeim
chosen
Bir-Hakeim is a Paris Métro station on Line 6, known for its iconic elevated viaduct and close views of the Eiffel Tower along the Seine.
-
B.
Nabiac
Nabiac is a small rural village in New South Wales, Australia, known for its farming community and proximity to the Wallamba River and coastal attractions.
-
C.
Hirkani Buruj
Hirkani Buruj is a historic bastion on Raigad Fort in Maharashtra, India, associated with the legendary story of a brave woman named Hirkani who is said to have climbed down the fort’s steep cliff to reach her child.
-
D.
Al-Hinakiya
Al-Hinakiya is a town in western Saudi Arabia situated within the administrative boundaries of Al Madinah Province.
-
E.
Uçhisar
Uçhisar is a small town in Turkey’s Cappadocia region, best known for its towering rock castle and panoramic views over the surrounding fairy-chimney landscape.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66facf881908b9ec687d68ce91b |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235edf7708190b79605a05baf1711 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.