Triple
T15308615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Havre urban area |
E365969
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Turretot
Turretot is a small French commune in the Normandy region that forms part of the greater Le Havre metropolitan area.
|
E1149594
|
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: Turretot | Statement: [Le Havre urban area, hasPart, Turretot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turretot Context triple: [Le Havre urban area, hasPart, Turretot]
-
A.
Turriaco
Turriaco is a small Italian municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Munttoren
Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
-
D.
Turtkul
Turtkul is a city in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, known as a regional center near the Amu Darya River.
-
E.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
- 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: Turretot Triple: [Le Havre urban area, hasPart, Turretot]
Generated description
Turretot is a small French commune in the Normandy region that forms part of the greater Le Havre metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turretot Target entity description: Turretot is a small French commune in the Normandy region that forms part of the greater Le Havre metropolitan area.
-
A.
Turriaco
Turriaco is a small Italian municipality in the Friuli Venezia Giulia region of northeastern Italy.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Munttoren
Munttoren is a historic clock and bell tower in central Amsterdam, originally part of the city’s medieval fortifications and now a notable canal-side landmark.
-
D.
Turtkul
Turtkul is a city in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan, known as a regional center near the Amu Darya River.
-
E.
Tappara
Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89feda88190b18f6a03d6e968aa |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa13e8508190930a22439b7f154a |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa80be14819089e87e7bdb3af7ec |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.