Triple
T9965608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poésies |
E195675
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
L’Azur
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
|
E832998
|
NE FINISHED |
How this triple was built (4 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: L’Azur | Statement: [Poésies, hasPart, L’Azur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Azur Context triple: [Poésies, hasPart, L’Azur]
-
A.
Lignes d’Azur
Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
-
B.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
C.
La Mar
La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
-
D.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
-
E.
The Sea
The Sea is a 1973 darkly comic play by British dramatist Edward Bond that satirically explores class, grief, and social order in a small Edwardian seaside town.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L’Azur Triple: [Poésies, hasPart, L’Azur]
Generated description
L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L’Azur Target entity description: L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
-
A.
Lignes d’Azur
Lignes d’Azur is the public transportation network of Nice and its metropolitan area, operating trams and buses across the region.
-
B.
Outremer
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
C.
La Mar
La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
-
D.
The Sea
"The Sea" is a 2013 British-Irish drama film adaptation of John Banville’s novel, following a grieving man who returns to a seaside town from his childhood to confront his past.
-
E.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
- F. None of above. chosen
Provenance (5 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23da2d7988190b8603ddb151996d9 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23eb1c1f481908404225dcccd0697 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d242aea6a08190a73a836e59865c35 |
completed | April 5, 2026, 11:08 a.m. |
Created at: March 30, 2026, 8:47 p.m.